Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Role Responsibilities
- Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
- Review model-generated implementations involving model training , inference systems , MLOps , and LLM applications .
- Identify bugs, edge cases, performance issues, and failure modes.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic ML engineering scenarios.
Qualifications
Must-Have
- 2+ years of professional machine learning engineering experience.
- Experience building production ML systems , model deployment infrastructure, LLM applications , or AI-powered products .
- Regular use of AI coding agents such as Cursor , Claude Code , Codex , Windsurf , Gemini CLI , or similar tools.
- Ability to evaluate model-generated machine learning implementations and technical tradeoffs.
Preferred
- Experience deploying ML systems to production.
- $400 per accepted task .
- Compensation is tied to accepted work.
Machine Learning Engineer - Fully Remote | Upto $85/hr London, England, United Kingdom
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Machine Learning Engineer - Fully Remote | Upto $85/Hr in England employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
