Senior Machine Learning Engineer

📋 Description

• Design, debug, and maintain ML systems in tool-enabled environments.
• Work across training, evaluation, and infrastructure to ensure robust ML.
• Diagnose failures and improve evaluation pipelines.
• Communicate system behavior and engineering tradeoffs clearly.

🎯 Requirements

• 4+ years of professional experience in ML Eng, Applied ML, or related roles.
• Strong Python skills; production-quality code; PyTorch, TensorFlow, scikit-learn.
• Experience training, evaluating, and iterating on ML models; diagnose failures.
• Strong ML evaluation understanding: metrics design and error analysis.
• Ability to debug complex ML system failures (data, artifacts, underspecified requirements).
• Comfort with incomplete specifications and multiple valid solutions.
• Experience with ML pipelines or systems (training workflows, evaluation harnesses, model-in-the-loop).

🎁 Benefits

• Flexible hours with a minimum commitment of 20+ hours per week.
• Project length 1–2 months, with potential to extend.
• Opportunity to work with cutting-edge ML and LLM systems.