RippleMatch
Mercor - Machine Learning Engineer, application via RippleMatch
RippleMatch, San Diego, California, United States, 92189
Mercor - Machine Learning Engineer, application via RippleMatch
Join to apply for the
Mercor - Machine Learning Engineer, application via RippleMatch
role at
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) 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 Payments: Weekly via Stripe Connect Engagement: Independent contractor How to Apply
Submit your resume on Mercor's website. Complete the System Design Session. Fill out the Machine Learning Engineer Screen.
#J-18808-Ljbffr
Join to apply for the
Mercor - Machine Learning Engineer, application via RippleMatch
role at
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) 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 Payments: Weekly via Stripe Connect Engagement: Independent contractor How to Apply
Submit your resume on Mercor's website. Complete the System Design Session. Fill out the Machine Learning Engineer Screen.
#J-18808-Ljbffr