Staff ML Engineer (Large Language Models)

Your responsibilities will include

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments.
• Exploring methods of guided generation and search in the trajectory space.
• Coming up with ways to mine web-scale data for examples relevant to the tasks of interest, and figuring out efficient ways to do post-pretraining on that data.
• Ensuring that infrastructure for running models on agentic tasks is robust and performant.

We expect you to have

• A profound understanding of theoretical foundations of machine learning.
• Deep expertise in modern deep learning for language processing and generation.
• Substantial experience with training large models on multiple nodes.
• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom Kernels, hardware features etc.).
• Strong software engineering skills (we mostly use Python).
• Deep experience with modern deep learning frameworks (we use JAX).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and Unit testing.
• Strong communication and leadership abilities.

Nice to have

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO, etc.
• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization.
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred.
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services.
• Open Source projects that showcase your engineering prowess.
• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!