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Role: Machine Learning Engineer
Location: Remote
We are hiring Machine Learning Engineers to support advanced benchmarking and performance-improvement projects across real-world ML workloads. This part-time, remote opportunity is ideal for early-career ML engineers or ML-focused PhD candidates who want to work on high-impact, structured tasks with measurable outcomes.
What You’ll Do
- Draft detailed natural-language plans and code implementations for ML tasks
- Convert novel ML problems into agent-executable tasks for RL environments
- Identify failure modes and apply golden patches to LLM-generated trajectories
What You’ll Bring
- 0–2 years of ML engineering experience or a PhD with ML coursework
- Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.)
- Experience with data prep, training, and model evaluation
- Bonus: contributions to ML benchmarks
- Must be U.S.-based
Opportunity Details
- ~20 hours/week
- Remote & asynchronous
- Duration through Dec 22, with potential extension into 2026
Compensation
- $80–$120/hour
- Weekly payments via Stripe Connect
- Independent contractor role
How to Apply
Submit your resume, complete a short system design session, and finish the ML screening form.
Apply Now!
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