RippleMatch Opportunities
Mercor - Machine Learning Engineer, application via RippleMatch
RippleMatch Opportunities, Austin, Texas, us, 78716
Mercor - Machine Learning Engineer, application via RippleMatch
This role is with Mercor. Mercor uses RippleMatch to find top talent.
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.
Schedule:
Remote and asynchronous—set your own hours
Commitment:
~20 hours/week
Duration:
Through December 22nd, with potential extension into 2026
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) Bonus:
Contributor to ML benchmarks Location:
Must be based in the United States
Compensation & Terms Rate:
$80-$120/hr, depending on region and experience Payments:
Weekly via Stripe Connect
How to Apply Submit your résumé on Mercor's website Complete the System Design Session ( Fill out the Machine Learning Engineer Screen ( Accepted file types: pdf, doc, docx, txt, rtf Interested in building your career at RippleMatch Opportunities? Get future opportunities sent straight to your email.
#J-18808-Ljbffr
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.
Schedule:
Remote and asynchronous—set your own hours
Commitment:
~20 hours/week
Duration:
Through December 22nd, with potential extension into 2026
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) Bonus:
Contributor to ML benchmarks Location:
Must be based in the United States
Compensation & Terms Rate:
$80-$120/hr, depending on region and experience Payments:
Weekly via Stripe Connect
How to Apply Submit your résumé on Mercor's website Complete the System Design Session ( Fill out the Machine Learning Engineer Screen ( Accepted file types: pdf, doc, docx, txt, rtf Interested in building your career at RippleMatch Opportunities? Get future opportunities sent straight to your email.
#J-18808-Ljbffr