RippleMatch
Mercor - Machine Learning Engineer, application via RippleMatch
RippleMatch, Miami, Florida, us, 33222
Mercor - Machine Learning Engineer
Mercor uses RippleMatch to find top talent. We are 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 are an early‑career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we would love to meet you.
What to Expect As a Machine Learning Engineer you will 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 22, 2023, 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
What to Expect As a Machine Learning Engineer you will 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 22, 2023, 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