Machine Learning Engineer Job

At Mercor, 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

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)

Why Mercor
Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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 Mercor 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.
Please note: We are unable to support H1-B or STEM OPT candidates at this time.
About Mercor
Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

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

Flex Time