Machine Learning Engineer for Benchmarking and Performance Optimization

• Job Title: ML Engineer – Benchmarking & Performance Optimization
• Location: Remote (U.S.-based only)
• Compensation: $80–$120/hour (independent contractor, weekly payments via Stripe Connect)

We are hiring Machine Learning Engineers to support structured benchmarking and performance-improvement initiatives for one of our clients—a global organization advancing real-world ML workflows. This part-time role is ideal for early-career ML engineers or ML-focused graduate researchers seeking hands-on, high-impact project work.

What You’ll Do

• Draft detailed natural-language plans and code implementations for ML tasks
• Translate novel ML problems into agent-executable tasks for RL environments
• Identify failure modes in LLM-generated trajectories and apply corrective patches
• Contribute to systematic benchmarking across models, datasets, and workflows

What You’ll Bring

• 0–2 years of ML engineering experience or current/completed PhD-level ML coursework
• Strong Python proficiency and experience with ML frameworks (TensorFlow, XGBoost, scikit-learn, etc.)
• Familiarity with data preparation, training workflows, and model evaluation
• Bonus: contributions to ML benchmarks or competitive evaluations
• Must be based in the United States

Opportunity Details

• ~20 hours/week
• Fully remote & asynchronous
• Engagement through December 22, with potential extension into 2026
• Independent contractor classification

What We Offer

• Work with a global leader in advanced ML development
• Highly flexible remote schedule
• Weekly contractor payments via Stripe Connect
• Potential for long-term project continuation

Equal Opportunity

We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, veteran status, or any protected characteristic.

Apply Now