Задачи:
— Реализация продвинутых оптимизаций инференса (спекулятивное декодирование, квантизация, модификации внимания и др.) для максимизации mining weight.
— Настройка Docker-конфигураций для различных моделей GPU на основе доступного реестра.
— Разработка пользовательских стратегий оптимизации, балансирующих пропускную способность и качество.
— Создание и поддержка пользовательских Docker-образов, оптимизированных под конкретные архитектуры GPU.
— Проектирование и внедрение систем для стабильного и масштабируемого майнинга Gonka и других протоколов.
— Разработка оптимизированных образов для Tenstorrent AI ASICs для расширения аппаратной экосистемы.
— Миграция Python-кода и реализаций VLLM на новые VLLM-образы с адаптацией под конкретные GPU.
Требования:
— Подтвержденный опыт оптимизации больших языковых моделей.
— Глубокое понимание архитектур трансформеров и механизмов внимания.
— Владение PyTorch, CUDA и методами оптимизации GPU.
— Опыт работы с vLLM, FlashInfer или аналогичными фреймворками оптимизации инференса.
— Знание Docker и управления GPU-нагрузками.
Желательные квалификации:
— Опыт работы с Claude Code Max (предоставляется при необходимости).
— Опыт работы с Gonka или аналогичными децентрализованными AI-сетями.
— Опыт в конкурентной оптимизации ML или распределенных систем.
— Знание архитектур NVIDIA GPU (B200/B300/H200/H100/A100).
— Знание Tenstorrent AI ASICs или специализированного AI-оборудования.
Условия:
— Возможность работы с передовой AI-инфраструктурой.
— Бонусы, зависящие от достигнутых улучшений mining weight.
— Возможность постоянной работы с долей в прибыли от майнинга.
— Гибкий удаленный режим работы.
— Доступ к высокопроизводительному GPU-оборудованию для экспериментов.
Location: US, San Diego, CA
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We’re hiring a Software Engineer to join our Platform Infrastructure team in San Diego. You’ll partner with a technical lead engineer and embedded in device identity and security—this is one area form the backbone of how we build, provision, deploy, and manage our robots at scale.
You will have the opportunity to contribute to:
- Device Identity & Security — The cryptographic chain of trust from secure boot through disk encryption and device attestation to cloud enrollment. Key management infrastructure, certificate lifecycles, and the tooling that ensures only trusted software runs on trusted hardware.
This role is designed for someone who is curious, technically sharp, and eager to learn, grow and build. Much of what you’ll work on—from secure boot pipelines to fleet-scale cloud infrastructure—isn’t taught in a classroom. We’re looking for the right attitude, aptitude and experience. We’ll invest in continuing your development into a world class platform engineer.
WHAT YOU'LL DO
Our platform infrastructure spans from the factory floor to the cloud and everything running on the robot in between.
- Build and ship software — Write production-quality code that contributes to our platform infrastructure, from backend services and automation tooling to provisioning and test systems.
- Learn alongside experts — Pair directly with a senior engineer who will mentor you in your focus area while giving you real ownership of deliverables.
- Collaborate across a global team — Work daily with firmware, applications, cloud, manufacturing, systems, and operations team members across the local San Diego office and global offices in London, Boston, and Vancouver.
- Embrace agentic development workflows — Use modern AI-assisted coding tools and practices we expect everyone on the team to leverage these to move faster with higher quality.
- Own your growth — As the team scales and business needs evolve, your focus within the platform infrastructure workstream will grow with you.
WHAT WE'RE LOOKING FOR
- Strong technical communication — You can explain your thought process clearly to a technical teammate, in writing and in person.
- Receptive to feedback — You have a demonstrated history of receiving and responding to feedback constructively.
- Leans into hard problems — You don’t shy away from unfamiliar territory; you dig in and figure it out.
- Humble — You are able to put your own ideas aside, listen, and genuinely consider others’ perspectives.
- Collaborative — You see knowledge as something to share, not withhold, in order to solve problems faster, together.
- Responsible — You strive to understand the “why” of your work and have the passion and ambition to push to get it over the line.
- Technically grounded — You have a solid foundation in CS fundamentals and can write clean, readable code even if you’re still building experience in our specific stack.
Experience:
- 5+ years of professional experience.
- B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Proficiency in at least one systems or backend language (Python, C/C++, TypeScript, or Rust).
- Proficiency in AI tools for research, iteration, feedback, development and test.
- Comfort working in Linux environments.
- Ability to work on-site at our San Diego office.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in California, the expected base salary range is $155,000-$185,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.
RELOCATION TO LONDON OR BARCELONA | PERK
Company Perk is an intelligent platform for travel and spend management, automating manual processes to help businesses reclaim lost productivity.
What you will do
Design and maintain efficient ELT pipelines using dbt to transform raw data into clean models.
Implement best-practice data modeling and software engineering techniques, including CI/CD and testing.
Develop comprehensive data quality checks and monitoring scripts to ensure reliability.
Collaborate with analysts and business users to optimize data models for specific analytical use cases.
Tune SQL queries and data models to improve warehouse performance and reduce latency.
Build scalable, compelling data visualizations in Looker for large teams.
Requirements
3+ years of experience in a data-focused role such as Analytics Engineer, Data Analyst, or BI Developer.
Expert-level proficiency in SQL.
Hands-on experience with dbt or similar transformation frameworks.
Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift.
Solid understanding of dimensional modeling and ETL/ELT principles.
Proficiency with Git for version control.
Must be based within commuting distance of London or Barcelona.
Nice to have Python expertise for automation and orchestration.
Experience with semantic layers and orchestration tools like Airflow.
Knowledge of modern software engineering practices applied to data.
Culture & Benefits
IRL-first culture emphasizing connectivity and collaboration.
Opportunity to work in a global, diverse environment with teams across 12 offices.
Focus on professional growth and impact within a fast-growing SaaS company.
Equal opportunity employer committed to diversity and inclusion.
London
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Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; 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!
Why this role?
This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.
Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract.
As a Data Annotation Specialist, you will:
- Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.
- Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests.
- Prompt models to complete complex data science tasks and review the accuracy of generated responses.
- Label, proofread, and improve machine-written and human-written software engineering-related outputs.
- Report quality and performance trends related to model/agent behaviour and project assignments.
You may be a good fit if you have:
- Exceptional data analysis and visualization skills.
- 3+ years of relevant industry experience working on real-world data science problems and pipelines.
- Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others).
- Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML.
- Prior experience re-writing, proofreading, and delivering feedback on code.
- Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.
The Candidate Journey:
- Initial Screening: Our Talent Team will review your application.
- First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.
- Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.
- Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.
- Final: Selected candidates will receive an Independent Contractor Agreement.
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If the above qualifications do not perfectly align with your experience, we still encourage you to apply!
We value and celebrate diversity and 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, and we will work together to meet your needs.
Location: Paris
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Montréal
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in French and English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why joining us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
- Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
- Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Preferred duration: at least 6 months. Priority to candidates about to finalise their studies.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence.
Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners.
Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact.
WHAT YOU WILL DO
• Individually deploy AI solutions into production for use cases with significant operational and strategic impact.
• Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers.
• Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning.
• Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders.
• Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.
HOW WE WORK IN APPLIED AI
• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.
ABOUT YOU
• Fluent in English.
• PhD or Master's in AI, Machine Learning, Computer Science, or related field.
• 2+ years of experience in AI/ML
• Proven track record of leading teams to deliver complex AI projects from prototyping to production.
• Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
• Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus.
• Strong software engineering skills: API design, backend/full-stack development, system architecture.
• Excels in technical communication with technical and non-technical audiences, including executives.
• Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.
IT WOULD BE GREAT IF YOU
• Have experience with React or other frontend frameworks.
• Have experience with Deep Learning in PyTorch
• Contributed to open-source projects in the LLM or AI space.
• Have experience in customer-facing roles with a focus on enterprise AI adoption.
SECURITY & COMPLIANCE CRITERIA
• Eligibility: must hold citizenship in the target territory (France for now).
• Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Присоединиться к команде, отвечающей за облачное подключение, безопасность и управление парком устройств Hue Bridge.
— Участвовать в разработке новой инфраструктуры IoT совместно с облачными инженерами.
— Разрабатывать, тестировать и интегрировать программные компоненты Hue Bridge для встроенного Linux.
— Улучшать пользовательский опыт и операционные расходы на основе данных с устройств.
— Изучать и внедрять инновации в практики и процессы разработки.
— Исследовать возможности полного стека разработки IoT программного обеспечения, от устройств до облака.
— Разрабатывать с использованием различных языков программирования: C, C++, Bash, Python, C#, Go.
Требования:
— Сильные навыки проектирования программного обеспечения и способность создавать простые, надежные и элегантные системы.
— Опыт работы с подключением, сетями и IoT.
— Знания и опыт в области сетевой безопасности.
— Знания и опыт в разработке продуктов, основанных на данных.
— Глубокие знания и опыт работы с C и/или C++ и Linux (OpenWRT и/или Yocto); Rust и/или Python приветствуются.
— Готовность изучать новые среды разработки, языки и платформы.
— Хорошее знание английского языка.
— Умение работать в команде, проактивность.
Условия:
— Зарплата в долларах США.
— Медицинская страховка и покрытие спортивных активностей.
— 26 дней отпуска.
— 100% оплата больничных.
— 3 дня больничного в год.
— Тренинги и практика обмена знаниями.
— Корпоративная культура с ориентиром на людей.
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
We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact.
Previous experience in life sciences is welcome, but not required for this role.
Minimum Qualifications
Demonstrated experience training and evaluating large language models
Proficiency in Python and familiarity with modern ML development practices
Experience building and managing data pipelines for large-scale datasets
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Preferred Qualifications
8+ years of machine learning experience
Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
Experience working with large-scale biological datasets
Published research or practical experience in scientific AI applications or long-horizon reasoning
Background in reinforcement learning and/or pretraining
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
Contributions to open-source scientific software or databases
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.
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: Palo Alto; New York; San Francisco
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an AI Scientist, you will research and develop novel methods to advance the capabilities of large language models. This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life.
You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing.
The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit.
WHAT YOU WILL DO
- Research and develop innovative methods to advance the frontier of large language models.
- Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models.
- Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact.
- Design and implement solutions that address complex challenges in AI model development and deployment.
- Contribute to the open-source community by releasing cutting-edge models and tools.
WHAT WE'RE LOOKING FOR
- A strong publication record in a relevant scientific domain, such as machine learning or natural language processing.
- High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java.
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
- A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team.
- Experience with training large transformer models in a distributed manner.
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
- Experience with audio or speech processing, including input/output and NLP.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Разработка и настройка AI-функций продукта
— Работа с LLM, RAG, embeddings и векторными базами данных
— Интеграция OpenAI, Gemini, DeepSeek и других AI API
— Настройка промптов и улучшение качества ответов моделей
— Работа с учебными материалами и базой знаний
— Поддержка серверной части: Linux, Docker, логи, конфигурации и деплой
— Оптимизация скорости работы и стоимости AI-запросов
Требования:
— Опыт работы от 3 до 6 лет
— Уверенное владение Python
— Опыт работы с LLM, RAG и embeddings
— Опыт интеграции AI API
— Понимание FastAPI и REST API
— Опыт работы с Linux-серверами
— Владение Docker, Git, переменными окружения и инструментами работы с логами
— Умение доводить AI-функции до рабочего состояния в продукте
— Будет преимуществом: опыт работы с Qdrant, Pinecone, Weaviate, Chroma, PostgreSQL, Redis, TTS/STT, Telegram Bot API, Mini App, MLOps и компьютерным зрением
Условия:
— Официальное оформление по Трудовому договору или договору ГПХ (с самозанятым, ИП или физическим лицом)
— График работы 5/2
— Рабочий день: 8 часов
— Гибридный формат работы
— Выплата заработной платы два раза в месяц
— Возможность проектной или долгосрочной занятости
— Условия оплаты обсуждаются по итогам собеседования
Адрес:
Астана, улица Сарайшык, 5
Задачи:
— Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте;
— Обеспечение бесперебойной работы инфраструктуры и сервисов;
— Сопровождение bare-metal кластеров k8s;
— Сопровождение кластеров Clickhouse, Kafka, PostgreSQL, Aerospike;
— Автоматизация процессов;
— Обнаружение потенциальных проблем и участие в создании решения по их устранению;
— Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг;
Требования:
— Опыт администрирования Linux серверов;
— Опыт администрирования Kubernetes;
— Опыт администрирования ClickHouse, PostgreSQL, Redis;
— Опыт работы с брокерами сообщений (Kafka);
— Понимание принципов IaC;
— Prometheus stack;
— ELK/EFK;
Будет плюсом:
— Опыт работы с Aerospike;
— Опыт использования GitLab CI;
— Опыт автоматизации с помощью Ansible;
— Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.);
Условия:
— Отсутствие дресс-кода и бюрократии;
— Рабочий ноутбук на выбор: Mac или PC;
— Покупка билетов до Кипра за счёт компании;
— Помощь с переездом семьи из любого региона;
— Рабочая виза для сотрудника и гостевая виза для членов семьи;
— Предоставляем жильё на первый месяц;
— Медицинская страховка и мобильная связь;
— Бесплатные обеды и напитки;
— Всегда полные корзины фруктов и всяких вкусняшек в офисе;
— Бесплатные курсы английского и греческого языков;
— Оплата занятий спортом;
— Частичная оплата школ и детских садов.
Location: Colombia; Mexico; Argentina; Brazil; Peru; Ecuador
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a high-caliber Zoho Specialist and Automation Engineer to serve as the architect of our internal systems. In this role, you will be responsible for transforming complex business requirements into seamless, automated workflows that drive efficiency across the entire organization. This is a critical position for a technical problem-solver who enjoys building scalable infrastructure and ensuring that our data ecosystem remains robust, integrated, and high-performing.
Key Responsibilities
Design, develop, and maintain custom end-to-end automations across the Zoho One suite, with a primary focus on Zoho CRM, Books, and Creator.
Write and optimize Deluge scripts to handle complex logic, API integrations, and data triggers.
Build and manage sophisticated workflows, blueprints, and custom functions to eliminate manual tasks.
Integrate Zoho applications with third-party tools via REST APIs and middleware solutions.
Conduct regular system audits to ensure data integrity, security, and optimal performance.
Act as the internal technical lead for all system upgrades, troubleshooting, and process improvements.
Requirements
Proven experience as a Zoho Specialist or Automation Engineer with a deep understanding of the Zoho One ecosystem.
Expert-level proficiency in Deluge scripting.
Strong background in business process mapping and translating operational needs into technical architecture.
Hands-on experience with API integrations (JSON, XML, RESTful services).
Advanced analytical skills with the ability to troubleshoot complex automation failures and data discrepancies.
Excellent communication skills and the ability to work independently in a fast-paced environment.
Nice-to-Haves
Zoho Certified Developer or Administrator credentials.
Proficiency in additional programming languages (JavaScript, Python, or HTML/CSS).
Experience with Zoho Analytics for advanced business intelligence reporting.
Background in SQL or database management.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: On-site in London (Visa sponsorship and relocation available).
Company: Seamflow is a venture-backed startup building systems to accelerate manual processes in physical industries like aerospace, healthcare, and energy.
What you will do:
— Design and build end-to-end mobile workflows from UI to local state and sync logic.
— Work directly with customers in the field to understand and translate real-world processes into software.
— Integrate AI-powered features, including LLMs and model-backed APIs, into mobile workflows.
— Develop and maintain production-grade cross-platform apps for iOS and Android.
— Own the entire product cycle from customer calls and spec writing to deployment.
Requirements:
— Strong experience with TypeScript and React Native.
— Proficiency in native mobile fundamentals (Swift/Kotlin) for modules like sensors and background tasks.
— Experience shipping and maintaining apps via App Store and Google Play.
— Ability to design for unreliable connectivity, including offline persistence and conflict resolution.
— Experience integrating AI systems (LLMs, agents) into production products.
— Must be based in or be able to relocate to London.
Nice to have:
— Founder or ex-founder experience.
— Background in early-stage or stealth startups (e.g., YC, EF, Antler).
— Experience as a forward-deployed or solutions engineer.
— Proficiency in Python for backend service development.
Culture & Benefits:
— High-ownership, high-trust environment with a world-class team from X, Google, and Amazon.
— Full relocation and visa sponsorship support.
— Provision of meals and professional tools.
— Fast-paced, in-person culture in London.
О компании Nexters: международная компания по разработке игр, входящая в холдинг GDEV, с офисами на Кипре, в Армении и Казахстане, а также возможностью удалённой работы.
Обязанности:
— Проектирование, создание и поддержка масштабируемых конвейеров данных (batch и streaming)
— Поддержка и рефакторинг существующих решений
— Основная зона ответственности — Bronze и Silver слои платформы данных
— Разработка и поддержка моделей data lake / data warehouse
— Оптимизация производительности Spark-джобов
— Разработка и поддержка dbt моделей и контрактов данных
— Внедрение и поддержка мониторинга, наблюдаемости и проверок качества данных
— Работа с Kafka-стриминговыми конвейерами
— Взаимодействие с командами аналитики, маркетинга, платформы и бэкенда
Требования:
— Уверенные навыки SQL и Python
— Опыт создания ETL/ELT конвейеров в продакшене
— Практический опыт работы со Spark/PySpark, особенно в стриминговых сценариях
— Понимание распределённых систем обработки и хранения данных
— Опыт работы с архитектурами data lake / data warehouse
— Практический опыт с Delta таблицами, Parquet и S3
— Опыт работы с оркестраторами, такими как Airflow или аналогичными
— Опыт работы с Kafka и стриминговыми конвейерами
— Опыт поддержки и улучшения конвейеров данных в продакшене
— Опыт с практиками наблюдаемости, мониторинга и качества данных
Условия:
— Медицинская программа (включая стоматологию) или компенсация, доступная в любом месте работы
— Медицинская программа для членов семьи при работе в офисах на Кипре, в Армении и Казахстане
— Оплачиваемый отпуск и больничные
— Возможность работать в офисах или удалённо
— Спортивные активности в офисах (йога, футбол, волейбол)
— Пакет поддержки релокации при переезде в официальные локации
— Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в соответствующих офисах
— Участие в гейм-джемах, хакатонах, конференциях и митапах
— Поддержка социальных инициатив и участие в благотворительных проектах
Формат работы: в офисах компании на Кипре, в Армении и Казахстане или удалённо.
Location: San Francisco, CA | 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 Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads.
Responsibilities
Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more
Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others
Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams
Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact
Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads
You may be a good fit if you:
Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment
Have strong proficiency in Python, Rust and/or Go
Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes
Have experience with container orchestration and infrastructure at scale
Have excellent communication skills and enjoy supporting internal partners to improve their development experience
Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges
Strong candidates may have:
Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)
Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale
Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules)
Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines
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:
$405,000
—
$485,000 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.
УдалённоCanada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal
ОфисleadParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
leadBenefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
СтажёрParis; London; Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome; Location & work authorization: This internship is available only in France or the UK; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
San Francisco, CA
ГибридPalo Alto; New York; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
