Resident
미국 캘리포니아 · 2주 전 · 지원자 48명
- US$250K/연 재택대면혼합근무 풀타임 인턴
- 직원 51-200명 · 연구 서비스
지원
저장Anthropic Resident 저장
공유
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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.
We believe that there are lots of fantastic candidates who presently work in other fields, and could have lots of impact if they transitioned into ML. The Anthropic Residency program offers 6-12 month residencies, working closely with mentors to do high-impact research and grow as a machine learning researcher. We are open to candidates with non-traditional backgrounds who are interested in breaking into the ML or AI field.
You Might Be a Fit If You
- Are deeply curious about machine learning, especially large models, scaling laws, circuits-style interpretability, and human feedback.
- Care about how machine learning affects society and about making AI safe.
- Have a strong understanding of python, linear algebra, and calculus.
- Understand fundamental deep learning concepts and be able to implement them. Has likely done significant self-study, side projects, or a course related to deep learning.
- Are results-oriented, with a bias towards flexibility and impact.
- Have significant research or software engineering experience.
Strong candidates will
- Have strong expertise in another technical discipline, as demonstrated published research results in another field, previous software engineering work, etc., though we are also open to candidates with non-traditional backgrounds.
- Be open to considering a full time role if the residency leads to it seeming like a fit.
Annual Salary
The expected salary range for this position is:
$250,000 — $250,000 USD
Logistics
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.
US visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity
For eligible roles
, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits
- The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits
- The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
- This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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.
Resident, London
영국 잉글랜드 런던 · 1개월 전 · 지원자 34명
- 재택대면혼합근무 풀타임 인턴
- 직원 51-200명 · 연구 서비스
지원
저장Anthropic Resident, London 저장
공유
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Resident, London
Anthropic · 영국 잉글랜드 런던 (재택대면혼합근무)
지원
저장Anthropic Resident, London 저장
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채용공고 설명
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.
We believe that there are lots of fantastic candidates who presently work in other fields, and could have lots of impact if they transitioned into ML. The Anthropic Residency program offers 6-12 month residencies, working closely with mentors to do high-impact research and grow as a machine learning researcher. We are open to candidates with non-traditional backgrounds who are interested in breaking into the ML or AI field.
You Might Be a Fit If You
- Are deeply curious about machine learning, especially large models, scaling laws, circuits-style interpretability, and human feedback.
- Care about how machine learning affects society and about making AI safe.
- Have a strong understanding of python, linear algebra, and calculus.
- Understand fundamental deep learning concepts and be able to implement them. Has likely done significant self-study, side projects, or a course related to deep learning.
- Are results-oriented, with a bias towards flexibility and impact.
- Have significant research or software engineering experience.
Strong candidates will
- Have strong expertise in another technical discipline, as demonstrated published research results in another field, previous software engineering work, etc., though we are also open to candidates with non-traditional backgrounds.
- Be open to considering a full time role if the residency leads to it seeming like a fit.
Annual Salary
The expected salary range for this position is:
£205,000—£205,000 GBP
Logistics
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.
US visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity
For eligible roles
, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits
- The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits
- The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
- This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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.
Software Engineer, Claude.AI
미국 캘리포니아 · 2주 전 · 지원자 100명 이상
- US$300K/연 - US$405K/연 재택대면혼합근무 풀타임 신입
- 머신 러닝 반응 더 보기
- 직원 51-200명 · 연구 서비스
[보유기술: REST APIs, 소프트웨어 개발, +8 이상](<https://www.linkedin.com/jobs/search/?currentJobId=3956177944&f_C=74126343&geoId=92000000&origin=COMPANY_PAGE_JOBS_CLUSTER_EXPANSION&originToLandingJobPostings=3956180497%2C3956477967%2C3964730458%2C3956177944%2C3955417030%2C3955516154%2C3956771938%2C3955861730%2C3956184031#HYM>)
지원
저장Anthropic Software Engineer, Claude.AI 저장
공유
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Software Engineer, Claude.AI
Anthropic · 미국 캘리포니아 (재택대면혼합근무)
지원
저장Anthropic Software Engineer, Claude.AI 저장
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채용공고 설명
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 are looking for a software engineer to join our Claude.AI product team and help build innovative interfaces and APIs that enable powerful interactions with advanced language models. At Anthropic, we're not just building AI tools; we're reinventing how machines work with humans! You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our product and platform, pushing the boundaries of what's possible with AI-powered productivity tools.
We have multiple roles open on this team and are looking for experienced engineers at different stages in their career who are excited about this space and our mission.
Responsibilities
- Architect and build core components of the API layer that enables seamless interaction with large language models
- Develop intelligent conversational interfaces that leverage the power of language models to streamline tasks and boost productivity
- Optimize the API and interfaces for performance, scalability, and an intuitive user experience
- Collaborate with researchers to continuously improve interfaces based on real-world user interactions and feedback
- Implement tools and processes to monitor model behavior, performance, and alignment with user needs
- Contribute to the development of novel human-machine interaction paradigms that redefine how we work with AI
You Might Be a Good Fit If You
- Have 2+ years of experience as a software engineer, preferably building APIs and/or interfaces
- Have strong coding skills and experience with service-oriented architectures
- Take a user-centric approach to product development, prioritizing solutions that are robust, scalable, and intuitive
- Are passionate about the potential of AI to revolutionize the way we work and eager to tackle cutting-edge challenges in human-machine collaboration
- Thrive in a fast-paced, collaborative environment and enjoy pair programming (we love to pair!)
Strong Candidates May Also
- Have experience with REST APIs
- Have experience with react and frontend frameworks
- Have experience with containerization and DevOps
- Have experience with QA and testing automation
- Have experience with privacy and security best practices
- Possess a vision for the future of human-machine interaction and a drive to make that vision a reality
If you're excited by the prospect of shaping the future of human-AI collaboration and creating groundbreaking technologies that empower people to achieve more, we'd love to hear from you. Join us on our mission to unlock the full potential of human-machine synergy and redefine the nature of work itself.
Annual Salary
The expected salary range for this position is:
$300,000 — $405,000 USD
Logistics
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.
US visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity
For eligible roles
, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits
- The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits
- The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
- This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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.
Research Engineer / Research Scientist, Finetuning
시애틀, WA · 2주 전 · 지원자 41명
- US$280K/연 - US$625K/연 재택대면혼합근무 풀타임 신입
- 직원 51-200명 · 연구 서비스
[보유기술: 인공지능, 자연어 처리, +4 이상](<https://www.linkedin.com/jobs/search/?currentJobId=3955417030&f_C=74126343&geoId=92000000&origin=COMPANY_PAGE_JOBS_CLUSTER_EXPANSION&originToLandingJobPostings=3956180497%2C3956477967%2C3964730458%2C3956177944%2C3955417030%2C3955516154%2C3956771938%2C3955861730%2C3956184031#HYM>)
지원
저장Anthropic Research Engineer / Research Scientist, Finetuning 저장
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Research Engineer / Research Scientist, Finetuning
Anthropic · 시애틀, WA (재택대면혼합근무)
지원
저장Anthropic Research Engineer / Research Scientist, Finetuning 저장
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채용공고 설명
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 help construct and rapidly iterate on machine learning experiments to help us improve the behavior of powerful AI systems through finetuning. You care about making AI helpful, honest, and harmless, and are interested in shaping model behavior to be more aligned with human values and goals. You could describe yourself as both a scientist and an engineer. As a Research Scientist or Research Engineer on the Finetuning team, you'll contribute to research on improving language models through techniques like constitutional AI. You will have the opportunity to do creative, cutting-edge research on frontier models, and to see your work result in concrete improvements in performance and safety.
We generally expect research scientists to be able to iterate on their own experiments. We also provide opportunities for engineers to pursue their own research projects. Therefore this role can be more research oriented or more engineering oriented, depending on the experience and interests of the candidate.
Note: Currently, the team has a preference for candidates who are able to be based in the Bay Area. However, we remain open to any candidate who can meet the organization's 25% in-person policy.
Representative Projects
- Help develop novel finetuning techniques to improve language model behavior and make models more helpful, honest, and harmless
- Test out techniques like constitutional AI at scale and measure their impacts on model behavior
- Build tooling and infrastructure to enable efficient fine-tuning experiments on large language models
- Develop novel prompts and prompting strategies to improve and test model behaviors
- Run experiments that feed into key AI research and safety efforts at Anthropic
You may be a good fit if you:
- Have significant Python, machine learning, research engineering, or research experience
- Prefer fast-moving collaborative projects with concrete goals that involve improving model behaviors
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Care about the impact of AI and of your work
Strong candidates may also:
- Haver prior experience with large language model finetuning techniques such as RLHF
- Have experience with complex shared codebases and RL infrastructure
- Have experience authoring research papers in machine learning, NLP, or AI alignment or similar industry experience
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Annual Salary
The expected salary range for this position is:
$280,000 — $625,000 USD
Logistics
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.
US visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity
For eligible roles
, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits
- The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits
- The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
- This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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.
Software Engineer
San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Software Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.
Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year.
We may also put up separate, team-specific job postings. when In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings!
You may be a good fit if you:
- Have significant software engineering experience
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Want to learn more about machine learning research
- Care about the societal impacts of your work
Strong candidates may also have experience with:
- High performance, large-scale ML systems
- GPUs, Kubernetes, Pytorch, or OS internals
- Language modeling with transformers
- Reinforcement learning
- Large-scale ETL
- Security and privacy best practice expertise
- Machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
- Low level systems, for example linux kernel tuning and eBPF
- Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems
Representative projects:
- Optimizing the throughput of a new attention mechanism
- Comparing the compute efficiency of two Transformer variants
- Making a Wikipedia dataset in a format models can easily consume
- Scaling a distributed training job to thousands of GPUs
- Writing a design doc for fault tolerance strategies
- Creating an interactive visualization of attention between tokens in a language model
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$300,000—$600,000 USD
Logistics
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.
US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits - The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits - The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
- This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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.
Apply for this Job* RequiredFirst Name *Last Name *Email *PhoneResume/CVAttach Dropbox Google Drive or enter manually(File types: pdf, doc, docx, txt, rtf)(Optional) Personal Preferences How do you pronounce your name?WebsitePublications (e.g. Google Scholar) URLGitHub URLAI Policy for Application * While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree. ---- Yes NoAre you legally authorized to work in the country in which the job you are applying for is located? *---- Yes NoWill you now or in the future require visa sponsorship for employment at Anthropic? *---- Yes NoAre you open to working in-person in one of our offices 25% of the time? *---- Yes NoWhen is the earliest you would want to start working with us?Do you have any deadlines or timeline considerations we should be aware of?Which teams or projects are you most interested in? (Note: if none of the teams you select are hiring, we won't proceed with your application at this time, although we may reach out if those teams open roles in the future.)[ ] Pre-training — The Pre-training team trains large language models that are used by our product, alignment, and interpretability teams. Some projects include figuring out the optimal dataset, architecture, hyper-parameters, and scaling and managing large training runs on our cluster.[ ] AI Alignment Research — the Alignment team works to train more aligned (helpful, honest, and harmless) models and does “alignment science” to understand how alignment techniques work and try to extrapolate to uncover and address new failure modes.[ ] Reinforcement Learning – Reinforcement Learning is used by a variety of different teams, both for alignment and to teach models to be more capable at specific tasks.[ ] Platform – The Platform team builds shared infrastructure used by Anthropic's research and product teams. Areas of ownership include: the inference service that generates predictions from language models; extensive continuous integration and testing infrastructure; several very large supercomputing clusters and the associated tooling.[ ] Interpretability — The Interpretability team investigates what’s going on inside large language models — in a sense, they are trying to reverse engineer the concepts and mechanics from the inscrutable learned weights of these systems. Their goal is to ensure that AI systems are safe by being able to assess whether they’re doing what we actually want, all the way down to the individual neurons.[ ] Societal Impacts — Our Societal Impacts team designs and executes experiments that evaluate the capabilities and harms of the technologies we build. They also support the policy team with empirical evidence.[ ] Product — The Product research team trains, evaluates, and improves upon Claude, integrating all of our research techniques to make our AI systems as safe and helpful as possible.What’s your ideal breakdown of your time in a working week, in terms of hours or % per week spent on meetings, coding, reading papers, etc.?Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.)In one paragraph, provide an example of something meaningful that you have done in line with your values. Examples could include past work, volunteering, civic engagement, community organizing, donations, family support, etc. *Additional Information Add a cover letter or anything else you want to share.LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two.
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The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.How do you know if you have a disability? 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Software Engineer, API Experience
Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY
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 is looking for a product-minded engineer to build a world-class developer experience for the Anthropic API. You’ll build the tools to accelerate developers from idea to deployment. In particular, you'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts. You’ll collaborate closely with other product teams to bring Claude's current and future capabilities to developers.
We have multiple roles open on this team and are looking for experienced engineers at different stages in their career who are excited about this space and our mission.
Responsibilities:
- Build out the frontend and backend for helping developers bring their applications to production
- Partner with partner teams ensure sure new product features are integrated into the developer console in an intuitive way
- Use product sense to propose and implement improvements to the developer experience of using the API
- Work with researchers to understand new model capabilities and design unique products that help users maximize their use of the Anthropic API
You might be a good fit if you:
- Have 7-10+ years building production full-stack software with a focus on usability
- Have strong communication skills and user empathy to understand needs
- Are an expert in modern web development stacks (React, Next.js, etc)
- Have demonstrated a strong product mindset and a focus on iterative product development
Strong candidates may also:
- Have experience with React and frontend frameworks
- Have experience with REST APIs
- Have experience building products for developers
The expected salary range for this position is:
Annual Salary:
$300,000—$405,000 USD
Logistics
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.
US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits - The following benefits are for our US-based employees:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits - The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
- This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
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.
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