Research Engineer/Research Scientist, Tokens
Listed on 2026-03-06
-
Software Development
Software Engineer, Data Scientist
Location: New York
Anthropic |
Posted Mar 1 | Full-time | New York | Entry (0-2 yrs)
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.
Position OverviewAs a Research 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’ll build large‑scale ML systems from the ground up, care about making safe, steerable, trustworthy systems, and write code when you understand the research context and its importance.
YouMay 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
- High performance, large‑scale ML systems
- GPUs, Kubernetes, Pytorch, or OS internals
- Language modeling with transformers
- Reinforcement learning
- Large‑scale ETL
- 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
$350,000—$500,000 USD
LogisticsEducation 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 might not be able to sponsor every candidate. If we make you an offer, we will make every reasonable effort to obtain a visa and retain an immigration lawyer to help.
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. If you’re interested in this work, please submit an application.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).