Description
We are seeking a Machine Learning Research Engineer to join our team. You will design and run rigorous experiments to improve model capability, develop data recipes, and advance training science.
Responsibilities:
- Design and run experiments to measure gains in model capability
- Improve data quality and develop data recipes
- Define metrics for RL data and rewards
- Advance training science and develop post-training recipes
- Build evaluations and targeted tasks to guide investments
- Collaborate with engineers to scale training runs
Basic Qualifications:
- 3+ years of experience training large neural networks (1B+ parameters)
- Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
Preferred Skills and Experience:
- Experience with RL algorithms and language models
- Strong background in RL and machine learning fundamentals
- Excellent programming skills in Python and PyTorch or JAX
- Experience with distributed training and debugging
- Track record of original work in ML
Additional Requirements:
- Must be able to work onsite in Palo Alto
Compensation and Benefits:
- Annual salary: $220,000 - $357,000 USD
- Comprehensive benefits package, including equity, medical, vision, and dental coverage, 401(k) plan, and more
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