RippleMatch Opportunities
Mercor - Machine Learning Engineer, application via RippleMatch
RippleMatch Opportunities, New York, New York, United States
Mercor - Machine Learning Engineer, application via RippleMatch
Houston, TX, USA (Remote)
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 resume on Mercor's website
Complete the System Design Session ( Fill out the Machine Learning Engineer Screen ( Create a Job Alert
Interested in building your career at RippleMatch Opportunities? Get future opportunities sent straight to your email.
Accepted file types: pdf, doc, docx, txt, rtf
#J-18808-Ljbffr
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 resume on Mercor's website
Complete the System Design Session ( Fill out the Machine Learning Engineer Screen ( Create a Job Alert
Interested in building your career at RippleMatch Opportunities? Get future opportunities sent straight to your email.
Accepted file types: pdf, doc, docx, txt, rtf
#J-18808-Ljbffr