Location: London, UK
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:
You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our
Responsible Scaling Policy
), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.
Our blog
provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas:
AI Control:
Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Alignment Stress-testing
:
Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London
and
travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python.
Representative Projects:
Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions.
Run multi-agent reinforcement learning experiments to test out techniques like
AI Debate
.
Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.
Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.
Contribute ideas, figures, and writing to research papers, blog posts, and talks.
Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our
Responsible Scaling Policy
.
You may be a good fit if you:
Have significant software, ML, or research engineering experience
Have some experience contributing to empirical AI research projects
Have some familiarity with technical AI safety research
Prefer fast-moving collaborative projects to extensive solo efforts
Pick up slack, even if it goes outside your job description
Care about the impacts of AI
Strong candidates may also:
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs
Have experience with reinforcement learning
Have experience with Kubernetes clusters and complex shared codebases
Candidates need not have:
100% of the skills needed to perform the job
Formal certifications or education credentials
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:
£260,000
—
£370,000 GBP
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.
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: Belgrade; London; Berlin
Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack.
Responsibilities
- Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages
- Develop streaming and batch data processing systems for search index construction in a high-load environment
- Push the limits of hardware performance through low-level optimizations and systems-level tuning
- Tackle challenges in multithreading, concurrency, and system-level optimization
Qualifications
- 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)
- Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production
- Knowledge of Python or other scripting languages
- Passion for writing clean, efficient, and scalable systems-level code
- Strong knowledge of algorithms and data structures, and the ability to apply them effectively
- Deep understanding of multithreading, including various approaches, challenges, and trade-offs
- Experience building high-load, distributed, and hardware-adjacent services
- Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)
- Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)
Preferred Qualifications
- Experience developing core components of search engines, databases, or information retrieval systems
- Understanding of search fundamentals: indexing, query parsing, ranking, and relevance
- Experience with trading systems or other latency-sensitive real-time systems
- Familiarity with cloud services, Kubernetes, and AWS infrastructure
Location: Berlin (Germany)
Join us as a (Senior) Full Stack Developer - Web (f/m/d) in Berlin
Our Story
We are looking for a
Senior Full Stack Developer (Web Platform)
to help shape and scale thinkcell’s web platform and enable multiple teams to efficiently manage and publish content.
This is not a role for someone who only wants to work within a fixed web stack or maintain existing templates. We are looking for a web engineer who enjoys solving complex technical problems, making sound architectural decisions, and building systems that remain robust and maintainable as requirements evolve.
You will work across frontend and backend, improve the technical foundation of our web platform, and help us build scalable solutions that enable our teams to manage and publish content. Along the way, you will collaborate closely with stakeholders across design, marketing, product and engineering but with strong ownership over technical quality, long-term maintainability, and the overall direction of the platform.
What you will do
Design, build, and evolve our web platform features across front-end and CMS back-end.
Solve complex technical problems in a pragmatic way, balancing speed of delivery with long-term maintainability
Drive architectural improvements that make our web ecosystem more robust, scalable, and easier to work with
Build and improve our back-end functionality in PHP and Laravel for integrations, dynamic features, and internal tooling
Extend and optimize our CMS and publishing workflows to support efficient content operations without compromising technical quality
Improve performance, Core Web Vitals, accessibility, and technical SEO foundations across the platform
Work on the evolution of our current web architecture, while also challenging existing approaches when better solutions exist
Collaborate with design, marketing, product, and engineering teams to turn business requirements into well-structured technical solutions
Interface with back-end systems written in C++, ensuring reliable and efficient data exchange across system boundaries
Identify opportunities to improve developer experience, reduce complexity, and raise the overall engineering standard of the platform
Take ownership of technical tasks and help define best practices for modern web development at think-cell
What we are looking for
Strong experience building and shipping production-grade web platforms, applications, or systems
A proven ability to solve non-trivial technical problems and work confidently in complex web related codebases
Strong full stack engineering skills, with solid backend experience in PHP, Laravel, or similar technologies and a frameworks
Strong frontend fundamentals, including HTML, CSS, JavaScript and modern approaches to building maintainable user interfaces
Good judgment when making architectural and technical trade-offs
A pragmatic mindset: you know when to build for flexibility and when to keep things simple
Curiosity and confidence to work with unfamiliar technologies or domains when needed
A strong sense of ownership and responsibility for code quality, maintainability, and technical outcomes
Experience collaborating across disciplines and communicating clearly with technical and non-technical stakeholders in English
Nice to have
Experience with Statamic CMS
Experience with static site generation challenges
Experience with Deployment Tools such as Jenkins or similar tools
Familiarity with Tailwind, Alpine.js, or similar frontend tools
Experience improving performance-critical, SEO-relevant, or content-heavy platforms
Familiarity with Python for automation or tooling
Experience integrating with non-web backend systems or services
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking
: We embrace change and challenge the status quo.
Ownership
: We take pride in our work and learn from our mistakes.
Customer First
: We prioritize delivering lasting value.
Unified Team
: We foster collaboration, respect, and integrity.
Strive for Excellence
: We set ambitious goals and pursue quality.
Why is thinkcell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence.
think-cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software.
We can’t wait to see what you’ll bring to the team!
Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC
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
We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.
Responsibilities:
Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
Architect solutions for storing and efficiently querying large volumes of security-relevant data
Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
Work closely with security and infrastructure teams to understand requirements and deliver solutions
Mentor engineers and contribute to hiring and growth of the Security team
Participate in on-call shifts
You may be a good fit if you:
7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
Track record of building and maintaining internal developer tools or security platforms
Strong understanding of data processing pipelines and experience working with large-scale logging systems
Experience with:
Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows)
Infrastructure-as-code (Terraform, CloudFormation)
Query optimization for large datasets
Experience with building stable and scalable services on cloud infrastructure and serverless architectures
Ability to write maintainable and secure code in Python
Experience working with security teams and translating requirements into technical solutions
Ability to lead technical projects with minimal guidance
Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
Outstanding communication skills, translating technical concepts effectively across all organizational levels
Demonstrated success in bringing clarity and ownership to ambiguous technical problems
Strong systems thinking with ability to identify and mitigate risks in complex environments
Strong candidates may also have experience with:
Experience building security tooling from the ground up
Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
Background in detection engineering or security operations
Experience with:
SOAR platform/automation development
Data lake / Database architecture
API design and internal platform creation
Track record of applying ML/AI to security problems
Experience scaling security operations in a high-growth environment
Deadline to apply:
None. Applications will be reviewed on a rolling 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:
$320,000
—
$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.
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: Athens; Limassol
Workplace: hybrid
The Role:
The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.
The main responsibilities of the position include:
Design, develop, and maintain scalable data pipelines for data transformation and preparation.
Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
Ensure data quality and consistency across various sources.
Deploy machine learning models and AI tools to production environments.
Collaborate with data scientists to improve data models and support business intelligence tools.
Build and maintain data warehousing solutions.
Enforce data governance and security policies.
Work with cross-functional teams to understand data requirements and provide technical solutions.
Mentor junior data engineers and provide technical guidance.
Main requirements:
MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
Experience with AWS, Google Cloud, or Azure cloud services
Extensive experience with relational and non-relational databases.
Proven experience with machine learning.
Demonstrated experience in big data processing and analytics.
Strong analytical thinking and problem-solving abilities.
Effective communication skills to convey data-driven insights.
Fluency in English Language
Benefit from:
Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Office Based - Taipei, Taiwan
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.
Canonical's OEM Delivery Team works with tier-one OEM, IHV, and ODM customers to pre-load Ubuntu Classic, Ubuntu Core, and bring Ubuntu directly to millions of users. You will have the opportunity to enable cutting edge technology with world leading partners, and become the first contributor to the innovation. We are proud to have an office in Taipei where we do a wide range of software engineering work, from cloud to desktop, server and IoT.
We are hiring a
Senior Ubuntu Embedded IoT System Engineer
to represent Canonical with leading OEMs, ODMs, and silicon partners and to deliver the best user experience of Ubuntu on partner hardware for Robotics, Automotive, SmartNIC, Medical device, Industry gateway and many other products.
In this role, you will use your knowledge of Linux and hardware and improve Ubuntu for millions of users.
We work with the world's most significant silicon companies - Intel, AMD, Nvidia, Mediatek, Hisilicon, Samsung and more - to optimize Ubuntu on their next-generation chips. We also work with OEMs and ODMs - Dell, HP, Lenovo, Advantech, ADLink and many more - to ensure that Ubuntu works perfectly on their hardware.
This fast-paced environment requires excellent time management, insightful debugging, critical thinking, problem-solving skills and deep knowledge of the Linux system.
Location:
This role will be office based in Taipei, TW
The role entails
Provide software and system engineering services for OEM and ODM customers
Work closely with partners on platform bring up
Work with project managers and Field/QA engineers to identify, triage, and fix critical problems
Work with individual upstream projects to find and apply patches for bugs
Conduct root cause analysis, collect and organize details to reproduce and explain results
Facilitate communication between Ubuntu, firmware and hardware engineering teams
Occasional international travel to the EU, USA, Taiwan and China
What we are looking for in you
A Bachelor or higher degree in STEM, preferably Computer Science or Electrical Engineering
Exceptional academic track record from both high school and university
Professional written and spoken English with excellent presentation skills
Familiar with C, Python and Bash
Familiar with linux boot up process
Linux kernel, boot and system-level architecture skills
Experience of bootloader development, such as u-boot
Software development on Arm or non-X86 platforms
Linux debugging and resolution abilities
Ability to be productive in a globally distributed team
Ability to learn fast to work on cutting edge technologies
Ability to travel internationally twice a year for company events up to two weeks long
Nice-to-have skills
Experience with system firmware, including uboot, UEFI, ACPI, DSDT, boot loaders, device firmware
Experience debugging power management on PCI ASPM, SATA ALPM, low power profiles
Experience in board design, bring up, and validation
Experience with electrical engineering design tools (e.g. schematic capture, layout)
Computer architecture knowledge of x86, ARM, RISC-V
Familiarity with Ubuntu development model
Shell/Python scripting skills
Fluency in written and spoken Mandarin Chinese
What we offer colleagues
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 or commission. 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 of software. 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. Most colleagues at Canonical have worked from home since our 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: New York, New York / Remote
Workplace: remote
About the Company
Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.
About the Position
The primary focus of this role is to pioneer the development of an intelligent AI agent powered by large language models (LLMs) to enhance our security audit tools in the blockchain space. As a Blockchain Security Expert intern, you will work closely with our blockchain security team to bridge cutting-edge academic research with practical applications. Your efforts will be dedicated to designing, fine-tuning, and integrating LLM-driven AI agents that automatically analyze smart contracts and identify potential vulnerabilities. In this role, you'll be immersed in research and experimentation, exploring new methods to improve threat detection and risk assessment within our security audit platform, thereby directly contributing to more secure blockchain infrastructures.
Responsibilities
Collaborate with our blockchain security team to design and implement a large language model (LLM)-based AI agent for security audit tools.
Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments.
Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions.
Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements.
Requirements
Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with a strong emphasis on machine learning, natural language processing, and/or cybersecurity.
Deep understanding of LLM architectures (e.g., transformers) and hands-on experience in training or fine-tuning such models.
Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow).
Basic familiarity with blockchain technology and smart contract development is a plus.
Excellent analytical skills, problem-solving capabilities, and the ability to thrive in a fast-paced, innovative startup environment.
Strong written and verbal communication skills in English.
Bonus Points
Prior research or project experience in developing AI agents or automated security analysis tools.
Exposure to security audit methodologies and vulnerability assessment, particularly in blockchain or smart contract environments.
Familiarity with blockchain programming languages (e.g., Solidity) and platforms (e.g., Ethereum).
Publications or contributions to leading conferences/journals in AI, NLP, or cybersecurity.
Demonstrated ability to translate research insights into effective, production-ready tools.
Target monthly salary for this role performed is $6,000 - $8,000 if based in the US. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
CertiK accepts applications for this position on an ongoing basis.
CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.
CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf
All CertiK employees are expected to actively support diversity on their teams, and in the Company.
Location: US / Remote
Workplace: remote
About the Company
Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.
About the Position
The primary responsibility of this role is contributing to CertiK’s security-related services at the intersection of cybersecurity and blockchain. CertiK’s offerings include security consulting, security reviews, and security auditing of smart contracts and blockchains, alongside penetration testing and various verification processes.
As a Security Engineer at CertiK, , You’ll discover and analyze security vulnerabilities in blockchain smart contracts, summarize attacked vulnerabilities, and design feature code analysis tools. You’ll also stay up-to-date with analysis tools and new technology trends to further strengthen CertiK’s security offerings and expand our services.
Responsibilities
Participate in blockchain smart contract audits, identifying, analyzing, and addressing security vulnerabilities.
Help evaluate and define attack models for blockchain security.
Summarize and extract key characteristics from exploited code to build and maintain tools for feature code analysis.
Research and work with different analysis tools, continually learning and adapting to emerging technologies in the space.
Requirements
A bachelor’s degree (or higher) in full-time education, preferably in a science or engineering field, plus 3+ years of work experience.
Familiarity with fundamental information security concepts.
Proficiency in at least one of the following languages: Solidity, Go, Rust, C++, Python, or Node.js, along with a solid grasp of common algorithms.
A demonstrated ability to function in an English working environment with strong English reading and writing skills.
A passion for blockchain technology and a drive to learn and adapt to new technologies.
Bonus Points
Experience working with production pipelines—maintaining or developing them.
Familiarity with static code analysis (e.g., Syntax Analysis, Semantic Analysis, Taint analysis).
Exposure to popular blockchain-related platforms and technologies (e.g., Ethereum, Hyperledger, Cosmos).
Prior knowledge of blockchain smart contracts, security audits, and associated best practices.
Hands-on blockchain experience such as evaluating risks for blockchain projects or analyzing on-chain security events.
Target annual salary for this role performed is $90,000 - $150,000 if based in the US. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
CertiK accepts applications for this position on an ongoing basis.
CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.
CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf
All CertiK employees are expected to actively support diversity on their teams, and in the Company.
Location: San Francisco; New York
Workplace: Hybrid
The Role
Alchemy powers the most innovative companies in crypto - from Robinhood and Coinbase to Worldcoin and Stripe. As a Software Engineer focused on Solutions, you'll work directly with our most strategic customers to help them design scalable systems, optimize performance, and push the boundaries of what’s possible in blockchain infrastructure.
You’ll be a strategic advisor, systems architect, and product collaborator rolled into one. You’ll bridge the gap between bleeding-edge use cases and robust infrastructure, shaping the future of Alchemy through your insights on real-world needs.
Be the technical partner behind Web3’s most ambitious teams.
What You’ll Do
- Write code to help users unlock the full potential of our stack.
- Help top-tier teams design, scale, and optimize their use of Alchemy’s infrastructure - from smart contract automation to custom data pipelines.
- Deeply understand customer goals and proactively help them onboard, integrate, and ship powerful products on top of our infrastructure.
- Be the voice of our developer community - translate their needs into product insights and roadmap priorities.
- Act as the technical point of contact for strategic accounts, navigating technical blockers, future planning, and success metrics.
- Work across Product, Engineering, and BD to uplevel the full user experience and close feedback loops fast.
What We’re Looking For
- 5+ years of experience in technical roles (Software Engineering, Forward Deployed Engineering, Solutions Engineering, or similar)
- Strong foundation in systems design, APIs, and distributed architecture
- Experience working directly with customers - ideally in B2B SaaS or infra
- Comfortable writing and reading code - Python, TypeScript, or similar scripting languages
- Stellar communicator who can translate technical concepts for both builders and execs
- Passion for blockchain, crypto, and the infrastructure powering it - you don’t need to be a degen, but you’re curious and hungry to learn
- Bonus: experience at a high-growth startup or scaling a product in a fast-moving environment
Why This Role
- You'll operate at the intersection of product, engineering, and real-world adoption.
- You’ll shape how top-tier crypto companies bring products to life.
- You'll have massive scope and autonomy on a small, high-leverage team.
- Define the customer experience for Web3’s infrastructure layer.
Benefits and Perks
🩺 Medical, Dental, & Vision
💪 Gym Reimbursement
🖥️ Home Office Build-out Budget
🥙 In-Office Group Meals
🧘♂️ Wellbeing & Mental Health Perks
📚 Learning & Development Stipend
🎉 Company Sponsored Conferences & Events
💸 HSA and FSA Plans
🧬 Fertility Benefits
More on the Role
Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.
Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
- Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/
- Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/
- Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/
- Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/
RESPONSIBILITIES
- Develop infrastructure components for our ML inference platform using Python and Go
- Implement and maintain Kubernetes deployments for model serving
- Contribute to our inference orchestration layer for model deployments
- Build and enhance monitoring systems for model performance metrics
- Implement efficient resource management solutions for ML workloads
- Support infrastructure automation to improve ML deployment workflows
- Work closely with team members to implement technical solutions
- Help balance performance optimization with system reliability
- Participate in technical discussions around infrastructure improvements
- Learn and apply infrastructure best practices
REQUIREMENTS
- Bachelor's degree or higher in Computer Science or related field
- Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
- Working knowledge of Kubernetes and containerization
- Basic understanding of machine learning concepts and model serving
- Familiarity with distributed systems concepts
- Experience with basic monitoring and logging tools
- Interest in ML/AI infrastructure and willingness to learn
- Strong collaboration and communication skills
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Tashkent, Uzbekistan; Toshkent, Uzbekistan
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a
Portfolio Risk Manage
r to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job Responsibilities:
Managing Credit Strategies:
Oversee and pilot retail credit portfolio strategies to ensure their effectiveness and alignment with business goals.
Product Development Collaboration:
Work closely with the business teams to develop and improve retail credit products, ensuring they meet market needs and regulatory requirements.
Credit Portfolio Monitoring:
Continuously monitor the credit portfolio to ensure it is performing as expected, identifying any areas of concern or opportunity for improvement.
Anti-Fraud and Verification Strategy:
Develop and implement methodologies and strategies for fraud prevention and verification processes to protect the bank and customers.
Reviewing Current Practices:
Assess current lending practices and make recommendations for improvements to mitigate risks and enhance operational efficiency.
Reporting and Documentation:
Prepare the structure and content for regular reports on portfolio monitoring, providing clear insights and recommendations to senior management.
Experience in the Risk Division as a Portfolio Manager for retail credit products. Ideal experience includes:
Cash products (priority experience)
POS/BNPL (Point-of-Sale / Buy Now, Pay Later products)
Car loans
Experience in Risk Strategy Development:
A significant advantage would be experience in building risk strategies from scratch and launching new products in the market.
Target Banks:
Experience with banks such as Home Credit (Russia/Kazakhstan), MTS Bank (Russia), Tinkoff (Russia), Alfa-Bank (Russia), Tochka (Russia, not a target but possible), Kaspy (Kazakhstan), and Solva Group (Kazakhstan) is highly desirable.
Language Skills:
Proficiency in English at a good level is required.
Business Negotiation Skills:
Ability to negotiate with business units and a strong understanding of the bank's business strategy, including financial concepts like NPV (Net Present Value) and other key performance metrics.
Technical Skills:
Proficiency in Python and SQL is required.
Experience with BI (Business Intelligence) tools would be a plus.
What We Offer:
A challenging and dynamic work environment with opportunities to contribute to strategic projects.
Competitive compensation package and benefits.
Professional growth and development within a well-established organization.
Location: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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 a
Jira Administrator
to manage the Atlassian Jira Cloud at Canonical, including the administration, configuration, automation, and integration responsibilities. We expect the highest engineering quality, rigorous documentation practices, and effective stakeholder management abilities. Our goal is to enable Canonical engineering and business teams to leverage the power of Atlassian Jira, work on challenging assignments, and enable teams to make data-driven decisions.
The role is in the Commercial Systems team that integrates business systems used at Canonical to ensure reliable data flows at the right time to the right place, and to automate business processes across the company. We own a wide range of systems including popular SaaS solutions, such as Jira, Salesforce, NetSuite, Greenhouse, GSuite, and a few dozen others. To achieve this goal, we leverage Python and Go in combination with open source tools, such as Airbyte and Temporal. Our work helps to make data-driven decisions, and increases the efficiency of business operations.
Location:
This role can be held anywhere in EMEA time zones.
The role entails
Manage Atlassian Jira Cloud at Canonical
Design, document, and implement processes and automation in Jira
Design, document, and implement integrations between Jira and the data warehouse
Create analytical dashboards to enable stakeholders make data-driven decisions
Create learning resources that scale
Work with engineering, operations, and support teams at a global scale
Take ownership of critical escalations and resolve them in a timely manner
What we are looking for in you
Exceptional academic track record from both high school and university
Experience with Atlassian Jira and its ecosystem as an administrator
Understanding of common Jira usage patterns for various technical and non-technical departments
Experience as a software developer in Python
Professional written and spoken English
Excellent interpersonal skills, curiosity, flexibility, and accountability
Ability to collaborate remotely with a diverse set of team members and stakeholders, remain highly motivated, productive, and organized in a fully remote environment
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
A perspective on process architecture
Experience with complex cross-project automation
What we offer colleagues
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 or commission. 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 Program
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 of software. 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. Most colleagues at Canonical have worked from home 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.
#LI-remote
Location: Delhi, India
Workplace: remote
About us:
TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully.
With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.
Job Summary:
We are seeking for client
for a one month project
highly skilled and experienced SIEM Engineer with 5-8 years of hands-on experience working on Security Information and Event Management (SIEM) tools such as QRadar, Splunk, Microsoft Sentinel, Elastic Stack (Elasticsearch, Logstash, Kibana), and other SIEM platforms. The candidate will be responsible for the design, deployment, configuration, and management of SIEM solutions, ensuring efficient monitoring and proactive threat detection across the organization. This role involves collaboration with security teams to optimize incident detection, analysis, and response processes.
Key Responsibilities:
SIEM Implementation & Configuration:
Design, deploy, and configure SIEM solutions, including Elastic Stack (Elasticsearch, Logstash, Kibana), Wazuh, QRadar, Splunk & Microsoft Sentinel.
Integrate various log sources (e.g., firewalls, IDS/IPS, network devices, applications),/OT/IOT into the SIEM platform.
Develop and fine-tune correlation rules, dashboards, and alerts for proactive threat detection.
Perform system upgrades, patches, and manage the overall health of the SIEM environment.
Log Management & Monitoring:
Ensure proper log ingestion from multiple data sources, including Elasticsearch and Kibana, and troubleshoot any logging issues.
Maintain data retention policies, manage storage, and optimize SIEM performance.
Monitor and analyze system and security logs for anomalies, potential threats, or suspicious activities.
Elastic Stack Management or any open source like Wazuh:
Configure and maintain Elasticsearch clusters for log storage and search functionality.
Utilize Kibana to create custom dashboards, visualizations, and reports for security monitoring.
Work with Logstash or other log shippers for effective data parsing and enrichment before SIEM ingestion.
Experience:
5-8 years of experience working in SIEM engineering and administration roles.
Proven expertise with SIEM platforms like QRadar, Splunk, Microsoft Sentinel, and Elastic Stack (Elasticsearch, Logstash, Kibana).
Experience in integrating and managing log sources from diverse systems and platforms.
Strong understanding of security incident detection, threat analysis, and response processes.
Technical Skills:
Proficiency in SIEM platform management, rule creation, and performance tuning.
Hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for log management, search, and security monitoring.
Strong scripting abilities (e.g., Python, PowerShell, Bash) for automation.
Knowledge of security protocols, network traffic analysis, and intrusion detection systems.
Experience working with security frameworks such as MITRE ATT&CK, NIST, or CIS.
Certifications (Preferred):
SIEM-related certifications (e.g., IBM QRadar Certified, Splunk Certified Architect, Elastic Certified Engineer)
Security certifications such as CISSP, CISM, or CEH are a plus.
Soft Skills:
Strong problem-solving and analytical thinking abilities.
Excellent communication skills to convey complex technical concepts to stakeholders.
Ability to work independently or in a team with minimal supervision.
Education:
Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or related field (or equivalent experience).
Location: Paris; San Francisco; London; New York; 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:
Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
Key Responsibilities:
- Design and write high-performant and scalable software for training.
- Improve our training setup from an infrastructure and codebase performance standpoint.
- Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure
- Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- Learn from and work with the best researchers in the field.
Qualifications:
- Extremely strong software engineering skills.
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
- Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray)
- Experience using large-scale distributed training strategies.
- Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure
- Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
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: London; New York; Paris; Toronto; Montreal
Workplace: Hybrid
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:
As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization.
The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing.
Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.
Key Responsibilities:
- Design and write high-performant and scalable software for training.
- Understand architectural modifications and design choices and their effects on training throughput and quality.
- Write low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators.
- Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- Learn from and work with the best researchers in the field.
Qualifications:
- Extremely strong software engineering skills.
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.
- Experience writing kernels for GPUs using CUDA, triton, etc
- Experience using large-scale distributed training strategies.
- Familiarity with autoregressive sequence models, such as Transformers.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
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
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About Us:
ABOUT THE ROLE
In person 5 days/week in San Francisco
We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.
WHAT YOU WILL DO
- Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
- Collaborate closely with product and design teams to iterate on new features.
- Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.
- Lead by example in writing clean, maintainable, and well-tested code
WHAT YOU BRING
- 5+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
- Strong understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
- A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Strong ownership mindset
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
- Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Home based - EMEA
Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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 a
Lead Data Governance Engineer
with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.
The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.
Location
: This role will be based remotely in the EMEA region.
The role entails
Define, monitor, and execute data governance policies
Design, implement, and maintain tooling for automated data mesh operations
Deploy and operate services developed by the team
Depending on your seniority, coach, mentor, and offer career development feedback
Develop and evangelize great engineering and organizational practices
What we are looking for in you
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Track record of going above-and-beyond expectations to achieve outstanding results
Experience with data quality, governance, and security processes and tools
Experience with software development in Python and SQL
Professional written and spoken English with excellent presentation skills
Result-oriented, with a personal drive to meet commitments
Ability to travel internationally twice a year, for company events up to two weeks long
Nice-to-have skills
Performance engineering and security experience
Experience with Airbyte, Ranger, Superset, Temporal, or Trino
What we offer colleagues
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 or commission. 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 Program
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 of software. 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. Most colleagues at Canonical have worked from home 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.
#LI-remote
seniorBerlin (Germany); We encourage applicants from all backgrounds to apply
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
