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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: Al Hofuf, Saudi Arabia; Buqayq, Saudi Arabia; Al Jubail, Saudi Arabia; Dammam, Saudi Arabia We are looking for a Maintenance Planner for a prestigious opportunity in the Oil & Gas sector in Saudi Arabia . As a Maintenance Planner, you will play a crucial role in ensuring the efficient operation and reliability of equipment through effective maintenance planning and scheduling. Your expertise will contribute to minimizing downtime and optimizing the maintenance processes, ensuring adherence to the highest safety standards. Key Responsibilities: Plan, schedule, and coordinate maintenance and shutdown activities. Develop detailed job plans, resource allocation, and timelines. Ensure maintenance plans align with operational and safety standards. Utilize SAP or equivalent ERP systems for maintenance planning and reporting. Collaborate with operations, maintenance, and procurement teams to ensure smooth execution. Qualifications & Experience: Bachelor’s Degree in Mechanical Engineering (or related diploma). Certification in Planning and Scheduling (CPSP or equivalent). Proven experience in maintenance and shutdown planning . Proficiency in SAP or similar ERP systems. Experience in oil & gas or petrochemical industries preferred. Strong MS Office skills (Excel, Word, PowerPoint). Good knowledge of data analytics tools (Power BI, Tableau) is an advantage. Fluent in English ; Arabic is a plus. Willing to work rotating shifts , including nights and weekends. Key Skills: Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Attention to detail and ability to manage multiple priorities.

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: 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: 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

Location: ASTORIA GRANDE, Worldwide ISMIRA Agency is hiring GALLEY UTILITY NO 1 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 No 1 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

Location: Prague, Czechia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer’s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Our ambition is to catalyse innovation capability by supporting priority teams to develop truly customer-centred products and services. We are developing an end-to end approach that provides design, design thinking, agile and lean approaches to product development. We are looking for a Talent Acquisition Coordinator (Spanish & Italian Speaking) to support our key projects designing innovation tools, training and experiences. ! This role lasts initially until the end of May 2026 with expected extension, where only a full-time cooperation is available as form of cooperation. Key Responsibilities Create and manage offer letters in local languages Initiate and monitor employment checks including drug and medical screenings, ensuring timely completion and escalation of discrepancies Complete and maintain all relevant documentation related to background checks or offer rescinds Handle sensitive candidate data in compliance with internal policies and confidentiality standards Coordinate communication between Talent Acquisition Business Partners, Hiring Managers, and candidates to ensure smooth pre-boarding processes Support administrative activities and contribute to the overall efficiency and compliance of the Global TA Coordination team Maintain accurate records and ensure alignment with company standards and timelines Requirements Minimum 1 year of coordination or administrative experience in Human Resources or Talent Acquisition Experience in pre-boarding processes such as contract generation, global mobility, or visa coordination is an advantage Familiarity with HR systems such as Workday preferred Strong attention to detail and accuracy in documentation and reporting Excellent organizational, problem-solving, and communication skills Proficiency in Microsoft Office, with advanced Excel skills preferred Ability to work effectively in a fast-paced, evolving, and remote environment Proven ability to manage multiple stakeholders and adapt to change University degree strongly preferred Fluency in English, Italian, and Spanish Candidates must declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA? If you believe you are a good match for this role, or any other opportunities for which D-ploy is currently staffing, then we are very keen to speak with you. You can apply though a variety of channels, including our website www.d-ploy.ch or by reaching our directly to our recruitment team recruiting@d-ploy.ch.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Position Location: Austin, TX | Lisbon, Portugal About the Role Join the Workers Deploy & Config team, the engine behind Cloudflare’s serverless edge developer platform. You’ll build the large-scale systems that let developers deploy, configure, and manage Workers globally, from simple static sites to full-stack applications serving millions of users. This team powers the foundation behind much of Cloudflare’s developer platform, including services like Pages and R2. The work combines distributed systems, high-traffic APIs, performance, reliability, and developer experience. Responsibilities Design, build, and ship features and services within the Workers control plane. Improve the platform’s performance, availability, and scalability. Design resilient storage schemas and I/O patterns for long-term platform growth. Contribute to architecture and design discussions for foundational capabilities. Own production reliability, including participation in on-call rotation. Partner with Product Managers and customers to translate complex problems into scalable solutions. Drive projects independently from requirements and specs through implementation, testing, and release. Share knowledge and mentor interns and junior engineers. Research, prototype, and introduce new technologies when they solve meaningful problems. Desirable Skills, Knowledge & Experience Strong experience using Go in production environments. Experience with JavaScript and TypeScript. Experience with metrics and observability tools such as Prometheus and Grafana. Experience with SQL and relational databases such as PostgreSQL. Experience with Kubernetes or similar deployment tools. Knowledge of or experience with distributed systems. Proven ability to drive scoped projects from concept to release. Familiarity with implementing and consuming RESTful APIs. Proficiency using AI coding assistants and agents with good judgment to review and verify generated code before shipping. Bonus Points Experience scaling systems to meet increasing performance and usability demands. Experience working on a control plane or data plane. Experience using Cloudflare Workers or Pages. Product mindset and comfort talking to customers and partners. Familiarity with GraphQL. Familiarity with RPC. Compensation Compensation may be adjusted depending on work location. ● For Portugal based hires: Estimated annual salary is between €54,000 - €75,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Research Engineer , you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility.  We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business. How you will make an impact: Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Design trading strategy simulation software optimized for distributed computation Develop software for large scale data acquisition, storage, accessibility, and visualization Create user interfaces for data exploration and post trade analysis Accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field Excellent software development skills in modern C++ and Python A strong understanding of object oriented design, data structures and algorithms A strong understanding of quantitative finance mathematics A solid foundation in programming with the ability to think, communicate, and code clearly A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network) Skills in multi‐threaded applications An understanding of how to build software for long term use and broad adoption Demonstrated ability to produce algorithmic code in a fast-paced environment The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Research Engineer , you will be an integral member of a systematic research team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility.  We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business. How you will make an impact: Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Design trading strategy simulation software optimized for distributed computation Develop software for large scale data acquisition, storage, accessibility, and visualization Create user interfaces for data exploration and post trade analysis Accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field Excellent software development skills in modern C++ and Python A strong understanding of object oriented design, data structures and algorithms A strong understanding of quantitative finance mathematics A solid foundation in programming with the ability to think, communicate, and code clearly A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network) Skills in multi‐threaded applications An understanding of how to build software for long term use and broad adoption Demonstrated ability to produce algorithmic code in a fast-paced environment For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Stamford, Connecticut, United States About the Role iCapital is looking for a Client Delivery Specialist Associate to join the Data Solutions team. This role will set up and maintain the financial software applications we utilize, assist clients with issues, work on special projects, and help with ad-hoc tasks associated with building an innovative company. This role is a mix of finance and technology. Responsibilities Financial reporting and data aggregation tools: Analyze and explain portfolio performance results. Conduct account level reconciliation, including research and resolution of all breaks, cancels, and corrects. Perform analysis of private equity and hedge fund statements for input into the system Work with clients and partners to resolve data issues. Develop and strengthen client relationships: Help manage client onboarding, client account setup and training and day-to-day support and issue management. Software maintenance and setup: Perform system setup and configuration, new client setup, new financial account and asset set-up and classification. Assist in data feed management. Create custom reports based on client-specific needs. Liaise with the vendor partners for enhancements, and system and data issues. Work as part of a team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Establish operational effectiveness through the development and adoption of policies, procedures, and controls. Assess and act upon client and company needs proactively. Qualifications 3-5 years of experience in a related field Bachelor's degree from an undergraduate program Excellent customer service skills and the ability to foster and maintain effective relationships Strong understanding of financial instruments Experience with RIA/Wealth management policies, procedures, and client service Experience working with wirehouses or custodians Organized and self-motivated with the ability to prioritize tasks and meet deadlines Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities Comfortable with technology, software tools, and applications: Able to learn new software quickly Experience with Addepar, Black Diamond, Axys, APX, Orion, Archway, Solovis, Masttro, or similar wealth management platforms Experience with planning tools such as eMoney, MoneyGuidePro, or similar software Strong MS Excel and PowerPoint skills Basic knowledge of database concepts, and any type of programming Working knowledge of Photoshop, HTML design, and/or similar tools Knowledge of various financial products and indices, particularly: Liquid investments such as Equities, Bonds, ETFs, Mutual Funds, SMA/UMA Alternative investments Performance reporting calculations and methodologies Portfolio management and rebalancing How Family Offices, RIAs, and investment advisors work Critical thinker, that possesses strong problem-solving skills and can summarize information clearly and concisely, both written and verbal Collaborative and able to thrive in a team environment while working independently Able to learn quickly and adapt to an expanding environment Benefits The base salary range for this role is $85,000 to $95,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.