Anthropic
Research Engineer / Research Scientist, Tokens
Anthropic, San Francisco, California, United States, 94199
Join to apply for the
Research Engineer / Research Scientist, Tokens
role at
Anthropic .
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.
Responsibilities
Build large-scale ML systems from the ground up.
Improve the reliability of clusters for large jobs.
Improve throughput and efficiency.
Run and design scientific experiments.
Improve development tooling.
Write code with a strong understanding of research context and its broader importance.
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.
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.
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.
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.
Annual Salary
$340,000—$425,000 USD
Education requirements
We require at least a Bachelor's degree in a related field or equivalent experience.
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. If we make you an offer, we will make every reasonable effort to get you a visa.
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.
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.
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Research Services
Referrals increase your chances of interviewing at Anthropic by 2x.
#J-18808-Ljbffr
Research Engineer / Research Scientist, Tokens
role at
Anthropic .
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.
Responsibilities
Build large-scale ML systems from the ground up.
Improve the reliability of clusters for large jobs.
Improve throughput and efficiency.
Run and design scientific experiments.
Improve development tooling.
Write code with a strong understanding of research context and its broader importance.
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.
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.
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.
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.
Annual Salary
$340,000—$425,000 USD
Education requirements
We require at least a Bachelor's degree in a related field or equivalent experience.
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. If we make you an offer, we will make every reasonable effort to get you a visa.
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.
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.
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Research Services
Referrals increase your chances of interviewing at Anthropic by 2x.
#J-18808-Ljbffr