Mercor - Machine Learning Engineer, application via RippleMatch
RippleMatch(1 month ago)
About this role
Mercor is building a talent engine to help labs and research organizations advance AI, focusing on benchmarking and improving model performance and training speed on real ML workloads. This early-career Machine Learning Engineer role is a remote, asynchronous, part-time contractor position (~20 hours/week) working on tasks that support ML benchmarking and agent-executable problem formulations. The role is US-based and runs through December 22nd with potential extension into 2026.
Required Skills
- Python
- XGBoost
- TensorFlow
- Scikit-Learn
- Data Preparation
- Model Training
- Reinforcement Learning
- Failure Analysis
- LLMs
- Benchmarking
Qualifications
- PhD in Computer Science
- Machine Learning Coursework
About RippleMatch
ripplematch.comRippleMatch is an AI-powered hiring platform that matches early-career talent—students and recent graduates—with internships and entry-level jobs. Its machine-learning matchmaking surfaces tailored opportunities to candidates and recommends qualified applicants to employers, aiming to increase interview and hire rates. RippleMatch partners with universities and employers to expand access to opportunities and improve the efficiency and diversity of early-career recruiting. Candidates get curated job recommendations and a streamlined application experience while companies gain scalable sourcing of entry-level talent.
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