Machine Learning Engineer - Model Evaluation & Experimentation

• Run experiments by implementing changes, running training experiments, and analyzing results.
• Explore reinforcement learning ideas, focusing on reward functions and training behavior.
• Evaluate models to identify where frontier models fall short.
• Collaborate with researchers and experts to maintain task consistency and rigor.

Must-Have

• MSc or PhD in machine learning, computer science, or a related STEM field.
• 1+ years of experience in a research or research-engineering role.
• Experience in training and evaluating ML models and running experiments end-to-end.
• Strong familiarity with large language models and their evaluation techniques.
• Proficiency in Python and Git.

Preferred

• Basic understanding of reinforcement learning.
• Experience in AI training, model evaluation, or benchmark/task authoring.