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!