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Job summary
A consultancy firm is seeking a remote, part-time Machine Learning Engineer, ideal for early-career professionals or PhD candidates. You will draft detailed plans and code for ML tasks, convert problems for reinforcement learning, and apply solutions to ML trajectories. Candidates must have up to 2 years of experience or relevant education in machine learning and be based in the United States. Compensation is between $80 and $120 per hour, with flexible hours until December 2025, potentially extendable.
Qualifications
0–2 years as an ML Engineer or PhD in Computer Science (ML coursework required).
Contributor to ML benchmarks (bonus).
Must be based in the United States.
Responsibilities
Draft detailed natural-language plans and code implementations for ML tasks.
Convert novel ML problems into agent-executable tasks for reinforcement learning environments.
Identify failure modes and apply golden patches to LLM-generated trajectories for ML tasks.
Job description
A consultancy firm is seeking a remote, part-time Machine Learning Engineer, ideal for early-career professionals or PhD candidates. You will draft detailed plans and code for ML tasks, convert problems for reinforcement learning, and apply solutions to ML trajectories. Candidates must have up to 2 years of experience or relevant education in machine learning and be based in the United States. Compensation is between $80 and $120 per hour, with flexible hours until December 2025, potentially extendable.