Location: Germany
About the Client
Our client is a fast-growing SaaS company simplifying and digitizing the CFO’s office. They partner with thousands of corporates and SMEs globally and have consistently achieved strong double-digit growth over the past three years. The business is now scaling internationally, with recent expansion into the Middle East, Southeast Asia, and Europe, and they are looking for builders who can support this global vision.
Our Client’s Vision for Europe:
Our client is expanding in the European market very aggressively, with >$3 Mn investment being parked and approved for the European market to sustain the early years.
Our client aspires to build north of 20 Mn USD revenue in the next 2-3 years across Europe. The plan in Europe is to land with E-invoicing product (which is a global trend) in Belgium and then expand to other countries, with France, Poland, Germany and Spain being countries of immediate focus.
Responsibilities:
Build a deep understanding of the company's products and position it as the partner of choice for CFOs and finance leaders in large enterprises.
Drive new logo acquisition through strategic outbound, partner networks, and referrals.
Navigate enterprise sales cycles end-to-end — from first conversation to signature — engaging with multiple stakeholders across functions.
Build compelling business cases and tailored value propositions to solve critical tax and compliance problems.
Negotiate and close enterprise contracts efficiently while ensuring predictable revenue realization.
Maintain high-quality CRM hygiene for accurate forecasting and pipeline visibility.
Requirements
Native German speaker with business-level English
Minimum 3+ years of enterprise B2B SaaS / Fintech / Tax / Compliance sales experience
Proven success in acquiring new enterprise customers and exceeding quota
Strong network and credibility in the German enterprise landscape
Excellent communication, storytelling, and negotiation skills at C-suite level
Willingness to travel frequently for face-to-face enterprise engagements
Ambitious, strategic mindset — excited by the potential to scale into country leadership
Benefits
Join a global Series C SaaS company backed by world-class investors and IPO-bound in 3 years
Sell into a high-growth European market with strong product-market fit
Competitive compensation and performance-based upside
Fast-track your career towards senior commercial or country leadership roles
Be part of a high-impact, global team transforming how enterprises manage tax and compliance
Location: Dhahran, Saudi Arabia
Eram Talent is seeking a skilled Rig Material Expeditor to join our team in Saudi Arabia. As a Rig Material Expeditor, you will be responsible for ensuring the efficient delivery and management of drilling materials to various rig locations. Your role will be crucial in supporting the operations and logistics of our projects in the region.
Key Responsibilities
Rig Material Expeditor shall:
a) Adhere to all Saudi Aramco, D&WO and international HSE standards, policies and administrative controls.
b) Monitors the progress and shipment of drilling material. Obtains and inputs order status information in to system.
c) Maintains material and parts inventory and status information to expedite movement of material and parts between production areas, per predetermined production schedules and maintains order priorities.
d) He reads production schedules, inventory reports, and work orders to determine type and quantity of materials required, availability of stock, and order priority. Maintains Material Status, checks discrepancies etc.
e) He distributes materials to specified production areas, manually or using handcart, hand truck, or forklift. He may also drive truck to outlying work areas to check status of orders or to deliver materials.
f) Conducts a daily review of assigned expeditor workload queue to ascertain which orders are to be actioned based on delivery date priorities.
g) Consolidates orders by vendors, in order to minimize the number of Contracts, and contracts the vendor status information or to Expedite material. Maintains constant contact with major vendors who routinely have large number of open orders.
h) Enters and maintain current order/LDOR status information in system.
i) Identifies as early as possible, any delays which may cause a delay in vendor’s delivery date, and advises as required.
j) Reviews conflicting delivery requirements and assures that orders are delivered in the most cost effective manner to Saudi Aramco.
k) Monitors the status and delivery of material and inspection certificates.
l) Periodically advises the supervisor on overall vendor performance for each vendor with whom the expeditors has regular contact.
m) Prepare written reports of poor vendor performance.
n) Maintains records and files and perform related clerical duties as necessary.
o) Prepare tables, indices, charts, graphs and other visual aids for use in presentations.
p) Assists in the preparation of various reports as requested by the superintendent / Supervisor.
Requirements
High school diploma or equivalent; relevant certification is a plus acceptable to Saudi Aramco.
2-3 years of experience in material expediting or inventory management, preferably in the oil and gas sector.
Proficient in using Microsoft Office and materials management software.
Strong analytical and organizational skills with attention to detail.
Effective communication skills in English, both written and verbal.
Able to work collaboratively in a team environment and handle multiple tasks.
Familiarity with HSE standards and procedures related to materials management.
Willingness to adapt to the dynamic nature of the offshore work environment.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Poland; Ukraine; Georgia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
What you will do
- Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
- Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
- Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.
- Contribute to analytical planning and ensure alignment with overall business objectives.
- Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
- Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.
What you bring
- Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing).
- Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation.
- Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
- Experience leading or mentoring analytics teams and coordinating with business stakeholders.
- Excellent communication skills, able to translate between technical and business perspectives effectively.
- Solid understanding of business processes and data structures.
- Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value.
- Fluency in English for meetings with international clients.
Nice to have
- Hands-on experience with deep learning, computer vision, or generative AI projects.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
- Experience with data visualization or BI tools for communicating insights.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: India
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
About GalaxyOne:
GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U.S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at
galaxy.app
and you can learn even more here: "
The Launch of GalaxyOne with Zac Prince
" and "
GalaxyOne on FOX Business
."
Who You Are:
This role is a Senior Back End Developer (
Lending/Commercial)
for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy.
This role is office-based and candidates must be based in
Mumbai, India
, to qualify.
What You’ll Do:
Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications.
Help foster a culture of technical excellence, collaboration, and continuous learning.
Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services.
Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes.
Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks.
Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements.
What We’re Looking For:
Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience).
7+ years of experience in back-end development, with at least 2 years in a senior role.
Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services.
Strong experience with SQL and some exposure to NoSQL is nice to have.
Experience with Microservices and Event based architecture.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Experience in using Caching and Messaging Queues like Kafka.
Experience using Postman and Git / Bitbucket.
Bonus Points:
Prior experience working in a startup, taking a product from zero to one.
Experience in financial markets or brokerages.
What We Offer:
Competitive base salary and discretionary bonus
Competitive paid time off
Company-paid health and protective benefits for employees and their eligible dependents
Free virtual coaching sessions through Headspace
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
*Benefits may vary depending on location.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: JP - Tokyo, Japan
UXデザイナー - 新位置情報モバイルゲーム
The UX Design team of Scopely Explore (formerly known as Niantic) delivers innovative mobile experiences that inspire "exploration, exercise, and connection" for players around the world. In this position, you will tackle unique design challenges set in the real world, always placing the player’s perspective at the center of your UX design.
For your assigned game title, you will drive the UX design process from concept to completion. You will handle a broad scope of work—including UX flows, wireframes, and UI design—to shape intuitive and user-friendly experiences. Additionally, a crucial part of this role involves validating ideas using mockups and prototypes to clearly visualize and refine design concepts.
In development, you will collaborate closely with a diverse group of experts—including Engineers, Product Managers, User Researchers, and Artists—to co-create unique Scopely Explore experiences that blend the real and digital worlds. You will actively participate in brainstorming and new feature planning, contributing directly to the product's direction.
Additionally, you will communicate your design intent visually to internal and external stakeholders using wireframes and specifications. Your goal is to foster a shared understanding while building out the design.
If the prospect of exploring the future of real-world interactive experiences that make a positive experience in people's lives sounds exciting, we'd love to hear from you!
What you will do
Lead UX design efforts from concept to implementation for one or more player facing experiences
Develop mockups, wireframes, prototypes, and detailed design documentation to clearly describe interaction flows and design concepts.
Clearly communicate UX designs to all stakeholders.
Actively participate in team rituals to conceptualize and brainstorm new features.
Collaborate with cross-functional team members and partners, including regular and reliable attendance and participation in meetings.
Required in-office 3 days on Tuesday, Wednesday, and Thursday.
What you will need
3+ years of professional experience in UX/UI design.
A portfolio demonstrating interaction design for mobile applications.
Proficiency in designing effective user flows and wireframes.
Strong visual design skills with professional experience using design tools such as Figma.
Ability to create sketches and designs for design validation (prototyping).
Experience in mobile application or game development.
Fluent in Japanese, with the ability to smoothly communicate verbally and in writing.
業務内容
Scopely Explore のUXデザインチームは、世界中のプレイヤーに「発見・エクササイズ・つながり」をもたらす革新的なモバイル体験を提供しています。本ポジションでは、リアルワールドを舞台としたユニークなデザインの課題に取り組み、常にプレイヤー視点を中心に据えてUXを設計していただきます。
担当となるゲームタイトルでは、コンセプト立案からUXデザインを推進します。UXフロー、ワイヤーフレーム、UIデザインなど幅広い領域を担当し、直感的で使いやすい体験を形にしていきます。また、モックアップやプロトタイプを活用してアイデアを検証し、デザインコンセプトを明確に具体化することも重要な役割です。
開発では、エンジニア、プロダクトマネージャー、ユーザーリサーチャー、アーティストなど、多様な専門メンバーと密接に協力し、リアルとデジタルが融合したScopely Exploreならではの体験を共に作り上げます。新機能の企画やブレインストーミングにも積極的に参加し、プロダクトの方向性づくりにも貢献します。
加えて、社内外のステークホルダーには、ワイヤーフレームや仕様書を用いてデザイン意図を視覚的に分かりやすく説明し、共通理解を形成しながらデザインを構築していきます。
週３（火、水、木）での出社が必須となります。
必須条件
3年以上のUX/UIデザイン実務経験
モバイルアプリのインタラクションデザインを含むポートフォリオをお持ちの方
ビジュアルデザインに強みがあり、Figmaなどデザインツールを用いたデザイン実務経験がある方
ユーザーフローやワイヤーフレームを適切に設計できる方
アイディアのスケッチやデザインを制作できる方
モバイルアプリまたはゲームの開発経験のある方
日本語での文書作成・口頭コミュニケーションがスムーズに行える方
※英語でこれらのことができればなお歓迎します
変化の早い環境に柔軟に適応し、実用的な課題解決ができる方
多職種との協働経験があり、対面・オンライン問わず円滑なコミュニケーションができる方
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Dhahran, Saudi Arabia; Mumbai, India; Delhi, India
Eram Talent is actively seeking a knowledgeable and experienced Project Engineer (EPC) to join our team for a prominent company within the Engineering, Procurement, and Construction (EPC) sector. The ideal candidate will be responsible for managing and overseeing projects through all phases of the EPC process. This role will involve ensuring that projects are delivered on time, within budget, and in compliance with quality and safety standards.
As part of ERAM Group, E-Talent is an independent Talent Acquisition Consultancy committed to connecting top-tier professionals with outstanding opportunities across various domains including Engineering, Oil & Gas, Infrastructure, and Construction. This is an exciting opportunity for an ambitious engineer to drive impactful projects within a dynamic environment.
Responsibilities
1. Technology and Engineering Management
1.1 Assist the Project Manager in reviewing project basic engineering design documents, ensuring full compliance with Saudi Aramco design standards (e.g., SAES, SAMSS, SABP) and project specifications.
1.2 Coordinate design work across various disciplines (Process, Piping, Mechanical, Electrical, Instrumentation, Civil, etc.), chair or participate in key technical coordination meetings, and resolve interface conflicts and technical challenges during the design phase.
1.3 Manage the flow, approval, and archiving of project technical documents, ensuring the accuracy and completeness of all engineering deliverables.
1.4 Lead or participate in the technical evaluation of Technical Queries (TQs), Material Substitution Requests (SRM), and Change Requests (CRs), and follow up on the Saudi Aramco approval process.
2. Procurement and Supplier Coordination
2.1 Provide technical support to assist in the preparation of procurement technical specifications for key equipment and materials.
2.2 Participate in the technical bid evaluation of key suppliers.
2.3 Review technical documents submitted by suppliers (such as drawings, data sheets, calculation reports, ITP), ensuring they meet project requirements.
2.4 Coordinate the resolution of any technical issues arising during equipment manufacturing.
3. Construction and Pre-Commissioning Support
3.1 Provide comprehensive technical support to field construction, resolving technical challenges encountered during construction.
3.2 Review the technical feasibility of Construction Method Statements.
3.3 Manage engineering changes within the project scope, assess the impact of changes on cost, schedule, and technology, and strictly adhere to the change management process.
3.4 Participate in onsite system Mechanical Completion checks, ensuring installation work conforms to design intent and specifications.
3.5 Support pre-commissioning and commissioning activities by providing necessary technical documents and guidance.
4. Planning, Scheduling, and Reporting
4.1 Assist the Project Manager in developing and controlling the project's engineering schedule.
4.2 Prepare and submit weekly/monthly engineering technical progress reports to the Project Manager and the client (Saudi Aramco).
4.3 Identify and assess project technical risks and propose mitigation measures.
5. Compliance and Standards
5.1 Ensure all engineering activities strictly comply with Saudi Aramco's Health, Safety, and Environment (HSE) policies and procedures.
5.2 Ensure the entire project process conforms to Saudi Aramco's Quality Management System requirements.
6. Communication and Coordination
6.1 Act as one of the primary points of contact for daily technical communication with the client's (Saudi Aramco) engineers.
6.2 Effectively coordinate work between the internal design team, procurement team, construction team, and subcontractors.
Requirements
1. Education and Professional Qualifications
Bachelor's degree or higher, majoring in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or a related engineering field.
Possession of PMP (Project Management Professional), Chartered Engineer, or equivalent certification is preferred.
2. Work Experience
2.1 Minimum 8-10 years of project engineering experience in the oil, gas, or petrochemical industry, including at least 5 years in a Project Engineer or similar technical coordination role on large-scale Saudi Aramco petrochemical EPC projects.
In-depth understanding and practical experience with Saudi Aramco standards, processes, and culture are required.
2.2 Project experience in oil-gas separation, production enhancement, gathering and distribution stations, or similar upstream/midstream facilities is preferred.
3. Knowledge and Skills
3.1 Proficiency in at least one core engineering discipline (e.g., Process, Piping, or Mechanical) and familiarity with the fundamentals of other related disciplines.
3.2 Thorough understanding of the project lifecycle, from conceptual design to mechanical completion and commissioning.
3.3 Familiarity with international engineering standards (e.g., ASME, API, ANSI, IEC) and Saudi Aramco-specific standards.
3.4 Proficient in MS Office (especially Word, Excel, PowerPoint).
3.5 Proficient in project management software (e.g., Primavera P6 or MS Project).
3.6 Familiarity with common engineering design software and document management systems (e.g., SPF, Aconex).
3.7 Fluent in both English and Arabic, with both languages serving as working languages.
4. Core Competencies and Personal Attributes
4.1 Ability to communicate clearly and effectively with technical experts, management, and clients.
4.2 Ability to analyze complex problems under pressure and propose practical solutions.
4.3 Ability to lead cross-functional teams in resolving technical issues, even in the absence of direct reporting lines.
4.4 Capable of managing multiple tasks and large volumes of technical information simultaneously.
4.5 Adaptability to fast-paced, high-demand project environments, and ability to navigate cultural differences and work challenges.
4.6 Strong sense of responsibility and commitment to achieving project goals.
Benefits
Job Location: Ningbo, China & Saudi Haradh
Contract Period: 1 to 3 years depending on the project and performance.
Visa: Business visa will be provided by the Client.
Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.
This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.
We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.
No ML or Research experience is required
Responsibilities
Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
Create reusable platforms and tools that accelerate the development of new research applications
Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
Contribute to technical strategy and architectural decisions for research tooling
Mentor other engineers and help establish best practices for research application development
You may be a good fit if you
Have 5+ years of software engineering experience with a strong focus on full-stack development
Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
Demonstrate high agency and ability to operate independently in ambiguous environments
Can quickly develop deep understanding of complex technical domains
Have strong product instincts and can identify the right problems to solve
Are proficient with modern web technologies (React, TypeScript, Python, etc.)
Have a track record of building user-facing applications that are actually used and loved by their target audience
Communicate effectively with both technical and non-technical stakeholders
Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
Experience building research tools, scientific software, or experimentation platforms
Background in machine learning, AI research, or working closely with ML researchers
Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
Built open-source tools or platforms with active user communities
Experience with data visualization, interactive interfaces, or novel interaction paradigms
Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
Experience leveraging AI/LLMs to build more powerful or efficient tools
Previous work in creative tools, artist tools, or other domains requiring deep user empathy
Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment
Representative projects
Building interfaces for collecting and managing human feedback on model outputs at scale
Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
Developing visualization tools that help researchers understand model behavior and identify failure modes
Designing reusable components and frameworks that enable rapid development of new research applications
Building sandboxed execution environments for safely running AI-generated code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain
Müller's Solutions is looking for an enthusiastic BMC Helix Support / Technical Support Analyst to join our remote team. In this vital role, you will deliver superior technical support to our clients using BMC Helix, assisting them with troubleshooting and resolving various technical challenges related to the software. This position requires a proactive approach in providing solutions while ensuring a high level of customer satisfaction.
Key Responsibilities:
Provide efficient first-level technical assistance to clients using BMC Helix, addressing and resolving inquiries promptly.
Troubleshoot issues related to BMC Helix, including installation, configuration, and operational challenges.
Guide clients through the implementation process, ensuring effective usage of the BMC Helix platform.
Document technical problems and solutions systematically to build a robust knowledge base for future reference.
Collaborate with product teams to communicate customer feedback and assist in routine software updates.
Participate in training sessions and webinars to educate users on best practices within the BMC Helix environment.
Contribute to process improvement initiatives that enhance customer support experiences.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or related discipline.
Minimum of 2 years of technical support experience, ideally within a software or IT service environment.
In-depth knowledge of BMC Helix and experience with ticketing systems.
Strong analytical and troubleshooting skills, with attention to detail.
Excellent verbal and written communication abilities to convey complex information clearly.
Ability to work independently in a remote setup while managing efficiency and productivity.
Customer-oriented mindset with a dedication to exceeding client expectations.
Preferred Qualifications:
Experience in ITIL frameworks or IT service management processes.
Familiarity with other IT service management tools and methodologies.
Prior experience in a remote technical support role.
Relevant certifications in BMC Helix or IT support services are a plus.
Capability to prioritize tasks effectively and work under minimal supervision.
Location: New York; San Francisco; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads.
Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.
Job Responsibilities:
As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures.
Qualifications:
- 5+ years of experience writing high-performance, production-quality code
- Strong programming skills in C++ or Python (Rust/Go also welcome)
- Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.)
- Ability to diagnose and resolve performance bottlenecks across the model execution stack
- A strong bias for action — you ship fast, measure impact, and iterate
It’s a big plus if you have experience with:
- GPU programming, CUDA, or low-level systems optimization
- Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations)
- Scaling performance-critical distributed systems (e.g., computation, search, storage)
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
A few places to learn more about our work and team at a high level are
this introduction to Interpretability
from our research lead,
Chris Olah
; a
discussion of our work
on the
Hard Fork podcast
produced by the New York Times, and this
blog post
(and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
,
Toy Models of Superposition
,
Scaling Monosemanticity
, and our Circuits’
Methods
and
Biology
papers. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). In the short term, we have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an
Interpretability Architectures project
that involves collaborating with Pretraining.
Responsibilities:
Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights
Design and run robust experiments, both quickly in toy scenarios and at scale in large models
Create and analyze new interpretability features and circuits to better understand how models work.
Build infrastructure for running experiments and visualizing results
Work with colleagues to communicate results internally and publicly
You may be a good fit if you:
Have a strong track record of scientific research (in any field), and have done
some
work on Interpretability
Enjoy team science – working collaboratively to make big discoveries
Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away
You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results
You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null
To learn more about the skills we look for and how to prepare for this role, see our blog post –
So You Want to Work in Mechanistic Interpretability?
Familiarity with Python is required for this role.
Role Specific Location Policy:
This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of
Research Engineers
and
Research Scientists
. If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply.
About the Interpretability team
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe.
People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer".
We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our
vision post
). We have focused on resolving the issue of "superposition" (see
Toy Models of Superposition
,
Superposition, Memorization, and Double Descent
, and our
May 2023 update
), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent
work
which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our
most recent work
, we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.
A few places to learn more about our work and team are this
introduction to Interpretability
from our research lead,
Chris Olah, Stanford CS25 lecture given by Josh Batson, and
TWIML AI podcast
with Emmanuel Ameisen.
Some of our team's notable publications include and our Circuits’
Methods
and
Biology
papers,
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
,
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
,
A Mathematical Framework for Transformer Circuits
,
In-context Learning and Induction Heads
, and
Toy Models of Superposition
. This work builds on ideas from members' work prior to Anthropic such as the
original circuits thread
,
Multimodal Neurons
,
Activation Atlases
, and
Building Blocks
.
About the role
As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally.
Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline.
If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our
Research Scientist
or
Research Engineer
roles instead.
Key responsibilities
Partner with a research lead on direction, project planning and execution, hiring, and people development
Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively
Coach and support team members to have more impact and develop in their careers
Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing
Help identify and support opportunities for collaboration with other teams across Anthropic
Communicate team updates and results to other teams and leadership
Maintain a deep understanding of the team's technical work and its implications for AI safety
You may be a good fit if you
Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams
Have a background in machine learning, AI, or a related technical field
Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles
Have strong project management skills, including prioritization and cross-functional coordination and collaboration
Have managed technical teams through periods of ambiguity and change
Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research
Are a strong communicator both in speaking and in writing
Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well
Strong candidates may also have
Experience scaling engineering infrastructure
Experience working on open-ended, exploratory research agendas aimed at foundational insights
Some familiarity with our work and mechanistic interpretability
Role-Specific Location Policy
This role is expected to be in our SF office for 3 days a week.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"
The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe.
Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs.
More resources to learn about our work:
Our research blog
- covering advances including
Monosemantic Features
and
Circuits
An Introduction to Interpretability
from our research lead,
Chris Olah
The Urgency of Interpretability
from CEO Dario Amodei
Engineering Challenges Scaling Interpretability
- directly relevant to this role
60 Minutes
segment - Around 8:07, see a demo of tooling our team built
New Yorker
article - what it's like to work on one of AI's hardest open problems
Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model:
Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips
Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector"
Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission
The science keeps scaling - and it's now applied directly in
safety audits
on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI.
Responsibilities:
Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application
Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams
Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers
Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations
Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling
You may be a good fit if you:
Have 5-10+ years of experience building software
Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python
Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks
Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions
Prefer fast-moving collaborative projects to extensive solo efforts
Are curious about interpretability research and its role in AI safety (though no research experience is required!)
Care about the societal impacts and ethics of your work
Are comfortable working closely with researchers, translating research needs into engineering solutions.
Strong candidates may also have experience with:
Optimizing the performance of large-scale distributed systems
Language modeling fundamentals with transformers
High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization
Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs
Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges
Representative Projects:
Building
Garcon
, a tool that allows researchers to easily instrument LLMs to extract internal activations
Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them
Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization
Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to
Golden Gate Claude
but for safety research)
Role Specific Location Policy:
This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$315,000
—
$560,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring engineering leaders to work across the breadth of our Ubuntu Engineering organisation - leaders who care deeply for quality, performance and resilience in software, and have a proven track record for building, nurturing and developing high performing engineering teams.
This leadership track includes roles for managers and Senior+ engineers alike. At Canonical, managers are expected to stay technical and close to the code, and our Senior+ engineers lead and develop software projects, as well as the processes and people around them.
Our teams integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments.
The four key teams that ship Ubuntu are the
Foundations
: maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities
Server:
leading the design, evolution and future of our Ubuntu Server distribution
Desktop:
driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter
Debcrafters:
a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today
You'll be accountable for your technical roadmap, and responsible for your team: helping them grow as engineers, do important and satisfying work, and have a great time while doing it. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution
At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies
Location
: We have remote roles open in every time zone.
The role entails
Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our leads are:
Leading their teams in elevating the Linux developer and user experience
Designing, building and shipping high quality, performant software in Rust, Go and Python
Demonstrating sound engineering principles through architecture, development and code reviews
Taking responsibility for planning, estimation and execution
Working with product management to define the vision and strategy for Ubuntu
Setting expectations with other engineering teams, senior management, and external stakeholders
Offering coaching, mentoring, technical feedback and hands-on career development
Contributing to upstream and neighboring open source projects
Optimizing the distribution for performance, reliability, and security
Debugging complex system-level issues and delivering robust solutions
Authoring and improving technical and community documentation
What we are looking for in you
An exceptional academic track record from both high school and university
Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
Ability to drive and deliver technical work streams going above and beyond expectations
Lead and coach others to deliver exceptional engineering work
A demonstrated passion for open source software
Significant experience with Rust, Go, Python, Flutter or C/C++
Professional written and spoken English
Excellent communication and interpersonal skills
Result-oriented, with a personal drive to meet commitments
Ability to travel twice a year, for company events up to two weeks each
Nice-to-have skills
Experience contributing to or leading open source projects
Experience with Linux distributions/distribution engineering
Experience with software packaging and distribution mechanisms
Performance or Security Engineering experience
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring engineers to work across the breadth of our Ubuntu Engineering organisation - engineers who care deeply for quality, performance and resilience in software, engineers who are just as comfortable with designing and engineering new software as they are with packaging, integrating, testing and shipping the incredible catalog of open source software provided by the Ubuntu repositories.
Our engineers integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments.
The four key teams that ship Ubuntu are:
Foundations
: maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities
Server:
leading the design, evolution and future of our Ubuntu Server distribution
Desktop:
driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter
Debcrafters:
a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today
Bring your existing expertise and learn new skills by working on one of the most prolific pieces of open source software. As an engineer working on Ubuntu you could work on any or all of the following categories:
Development
: design, build and ship new foundational systems software and applications in Rust, Go, Flutter, and Python
Architecture
: engineer the integration of open source from boot firmware to cloud applications deployment
Packaging
: a combination of Debian and Snap packaging to ship software in the distribution
Automation
: build and maintain the machinery responsible for building, testing and shipping Ubuntu
Distro Engineering
: the maintenance and evolution of a Linux distribution and its repositories
This application track is suitable for those at the mid point in their career but perhaps not quite at the Manager/Lead level, with relevant skills to contribute to Ubuntu.
At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies.
Location
: We have remote roles open in every time zone.
The role entails
Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are:
Designing, building and shipping software in Rust, Go and Python
Packaging, integrating, testing and uploading open source software to the Ubuntu repositories
Debugging system-level issues and delivering robust solutions
Authoring and improving technical and community documentation
Contributing to upstream and neighboring open source projects
Collaborating as part of a globally distributed team
Mentoring their colleagues to build skills and understanding
Developing and improving processes to more efficiently fulfill our goals
What we are looking for in you
An exceptional academic track record from both high school and university
Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
At least 2 to 4 years of professional software engineering experience post University
Drive and a track record of going above and beyond expectations
A demonstrated passion for open source software
Significant experience with Rust, Go, Python, Flutter or C/C++
Professional written and spoken English
Excellent communication and interpersonal skills
Ability to travel twice a year, for company events up to two weeks each
Nice-to-have skills
Experience with Linux distributions and distribution engineering
Experience with software packaging and distribution mechanisms
Understanding of build systems and toolchains, including for cross-compilation
Performance or Security Engineering experience
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring junior engineers to work across the breadth of our Ubuntu Engineering organisation - engineers who care deeply for quality, performance and resilience in software, engineers who are just as comfortable designing and engineering new software as they are packaging, integrating, testing and shipping the incredible catalog of open source software provided by the Ubuntu repositories.
Our engineers integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments.
The four key teams that ship Ubuntu are
Foundations
: maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities
Server:
leading the design, evolution and future of our Ubuntu Server distribution
Desktop:
driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter
Debcrafters:
a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today
Bring your existing expertise and learn new skills by working on one of the most prolific pieces of open source software. As an engineer working on Ubuntu you could work on any or all of the following categories:
Development
: design, build and ship new foundational systems software and applications in Rust, Go, Flutter, and Python
Architecture
: engineer the integration of open source from boot firmware to cloud applications deployment
Packaging
: a combination of Debian and Snap packaging to ship software in the distribution
Automation
: build and maintain the machinery responsible for building, testing and shipping Ubuntu
Distro Engineering
: the maintenance and evolution of a Linux distribution and its repositories
If you have skills in those areas, or you have other skills you believe could contribute to Ubuntu, and you're keen to get started building your career in open source, then this is the role for you. Our junior career path caters for both new graduates and early careers engineers.
At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies.
Location
: We have remote roles open in every time zone.
The role entails
Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are:
Designing, building and shipping software in Rust, Go, Python and C/C++
Packaging, integrating, testing and uploading open source software to the Ubuntu repositories
Debugging issues, then designing and delivering robust solutions
Authoring and improving technical and community documentation
Contributing to upstream and neighboring open source projects
Collaborating as part of a globally distributed team
Continuously learning and progressing their technical and professional skills
What we are looking for in you
An exceptional academic track record from both high school and university
Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
Drive and a track record of going above and beyond expectations
A passion for open source software
Experience with Rust, Go, Python, Flutter or C/C++
Professional written and spoken English
Excellent communication and interpersonal skills
Ability to travel twice a year, for company events up to two weeks each
Nice-to-have skills
Familiarity with Linux distributions
Familiarity with system debugging tools and techniques
Familiarity with automation tooling and CI/CD systems
Experience contributing to open source projects
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Athens; Thessaloniki
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Responsibilities:
Conduct technical seminars, exhibitions, presentations, and webinars on the product (for customers and company employees);
Introduce product roadmaps and new features for Ajax Systems distributors, as well as installers;
Teach technical staff at Ajax Systems distributors and dealers to increase their knowledge of products and technology;
Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients;
Market research and сomparative characteristics of products of the competitors;
Develop long-term relationships with key partners of the company;
Test product features write technical documentation for new products or solutions, and collaborate with the rest of the team;
Analyze customer needs in collaboration with the sales department.
Key requirements:
2+ years of experience in the security industry or a similar industry.
Sales experience in the
Greece
region
Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, and fire alarm systems.
Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals.
Developing and implementing successful sales strategies.
Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level.
Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions.
Ability to manage and prioritize multiple projects and tasks simultaneously.
Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics.
A strong combination of technical knowledge, sales expertise, and strong communication skills.
Conversational English.
We offer:
Competitive wages - rate and transparent motivation system;
A product that sells itself;
Business trips;
A strong, well-coordinated team of professionals;
Opportunity to work with the most recognized security system and develop your career.
We are working to ensure that people's lives are calm and the world safe.
Let's become a part of the team that creates a smart and useful global product.
PS.: Please, send your CV in English
Location: ASTORIA GRANDE, Worldwide
ISMIRA Agency is hiring GALLEY UTILITY for ASTORIA GRANDE cruise ships!
ASTORIA GRANDE
invites Russian-speaking employees to join its team to work on a cruise ship to Turkey and Egypt with departure from Sochi to the shores of the Black, Aegean, Marmara and Mediterranean Seas. Astoria Grande visits the unique ports of the Turkish coast — Istanbul, Cesme, Amasra, Sinop, Trabzon, Ordu, Izmir, Kusadasi, and also stops at the largest port of Egypt - ancient Alexandria, and in the new season also in the beautiful ports of Greece.
POSITION SUMMARY:
The Galley Utility
assists the Sanitation Officer in managing execution and compliance of proper Garbage handling procedures and SHIP-SAN practices onboard to ensure company, divisional and ship performance objectives set forth by the company are met and/or exceeded by performing the following essential duties and responsibilities personally.
WHAT COMPANY OFFERS:
Opportunity to travel to the ports of Turkey, Egypt and Greece
Free meals and accommodation
The ticket is at the expense of the employer
The contract is 6-7 months
The salary is paid in euros. A bonus system for rewarding employees, as well as tips
No visa required
REQUIREMENTS:
Age 18+
Recruitment is conducted from the following countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova, Russia, Uzbekistan, Kazakhstan, Kyrgyzstan.
Fluency in Russian is mandatory
Knowledge of English - from intermediate depending on the position (knowledge of English is pre-intermediate for basic positions, fluency in both Russian and English is required for higher and administrative positions)
A full package of STCW certificates and a seafarer's passport/seafarer's identity card are required.
Sound knowledge of SHIP-SAN standards, monitoring, recording, operating procedures and practices.
Ability to work well under pressure and in a constantly challenging environment.
RESPONSIBILITIES:
In accordance with the company’s rules and regulations, he/she conducts in a professional and courteous manner at all times. This consists of physical and verbal interactions with guests or fellow shipboard employees and/or in the presence of guest contact and when in crew areas.
Supports the Sanitation Officer in planning, organizing, controlling, and evaluating the Health, Hygiene and Sanitation standards. Accomplishes the targets set forth by the company by following instructions given by the management.
Maintains effective internal communications, teamwork and productivity.
Continually encourages successful working practices by physically participating to the ship’s operation according to needs and as required by the management. Keep the Sanitation Officer informed of all pending issues that require cooperation or immediate attention.
Ensures that the amount of chemicals, consumables and PPE (Personal Protective Equipment) necessary for best sanitation and cleaning practices are available.
Enforce best practices for proper equipment handling and maintenance.
Responsible to minimize breakages, proper handling of utensils and avoid wastage.
Ensures that Chemicals are being handled properly, labeled and stored in the assigned lockers.
Ensures that all soap and towel dispensers are filled up and monitors cleanliness and maintenance conditions of the Galley Toilets.
etc.
The number of spots is limited!
Send us your RESUME here via the APPLY TO POSITION button
Last update: 14 декабря 2024
Dhahran, Saudi Arabia
seniorUnited States; For applicants from the European Union, please review
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorIndia; This role is office-based and candidates must be based in
JP - Tokyo, Japan
Dhahran, Saudi Arabia; Mumbai, India; Delhi, India
San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA
УдалённоNew York; San Francisco; Toronto; Montreal; We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility; You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations; We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
San Francisco, CA
San Francisco, CA
San Francisco, CA
Удалённоlead: We have remote roles open in every time zone
Удалённо: We have remote roles open in every time zone
Удалённоjunior: We have remote roles open in every time zone
Автоотклики