Machine Learning Engineer - $120 per hour

we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you.

What to Expect

As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes.

• Commitment: ~20 hours/week

What You’ll Do

• Draft detailed natural-language plans and code implementations for machine learning tasks
• Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments
• Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks

What You’ll Bring

• Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required)
• Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc.
• Bonus: Contributor to ML benchmarks
• Location: MUST be based in the United States

Compensation & Terms

• Rate: $80-$120/hr, depending on region and experience

How to Apply

• Submit your resume

• Complete the System Design Session (< 30 minutes)

• Fill out the Machine Learning Engineer Screen (<5 minutes)

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.