Research Engineer / Research Scientist, Tokens
Build and optimize large-scale ML systems for safe, steerable AI, handling infrastructure, experiments, and dev tooling. Requires strong software engineering and interest in ML research.
About the job
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
- 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
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
Compensation
Annual Salary: $350,000 — $500,000 USD
Skills
PyTorch, Kubernetes, Gpus, Transformers, Reinforcement Learning, Distributed Training, ETL, Machine Learning Systems
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