Research Engineer - Product

San Francisco, CA

Full Time Senior-level / Expert USD 250K+


Anthropic AI research company site

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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe for our customers and for society as a whole.
You care about making safe, steerable, trustworthy systems and are excited to commercialize them. You want to work at the confluence of safety research, capabilities research, and product. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that means running and designing experiments, working with major partners to improve our AI systems for their use cases, funneling AI safety and capabilities advances together into a single new system, or partnering with the API team to ensure the safety and security of new deployments. You're excited to write code when you understand the research context and more broadly why it's important.

Representative projects

  • Using Constitutional AI to improve AI safety, reliability, and performance in deployment
  • Profiling and improving the compute efficiency of various RL implementations
  • Safely sandboxing model generated code or model interactions with web browsers
  • Scaling a distributed training job to thousands of GPUs
  • Creating a dashboard of evaluations for a variety of AI models and deploying it to customers

You might be a good fit if you

  • Have extensive 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 and long-term implications of your work

Strong candidates may also have experience with some of the following

  • High performance, large-scale ML systems
  • GPUs, kubernetes, pytorch, OS internals
  • Language modeling with transformers
  • Reinforcement learning
  • Large-scale ETL
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.
Salary - The expected salary range for this position is $250k - $445k.
Equity -  Equity will be a major component of the total compensation for this position. 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.
Benefits - Benefits we offer include:- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.- Comprehensive health, dental, and vision insurance for you and all your dependents.- 401(k) plan with 4% matching.- 21 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.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. 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.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Hybrid policy: For this role, we prefer candidates who are able to be in our office more than 25% of the time, though we encourage you to apply even if you don’t think you will be able to do that.

Tags: APIs Engineering ETL Kubernetes Machine Learning PyTorch Research Security Transformers

Perks/benefits: Career development Competitive pay Equity Fertility benefits Health care Lunch / meals Parental leave Relocation support Unlimited paid time off

Region: North America
Country: United States
Job stats:  12  1  0
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