ML Engineer - AI Coding Expert
- Toronto, ON, Canada
Remote
$85 CAD / hour
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Job details
- Pay
- $85 CAD / hour
- Workplace
- Remote
- Experience
- 2+ years of professional machine learning engineering experience.
- Posting language
- English
Original job description
About the job
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.
Position: ML Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote
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.
Compensation & Legal
- $400 per accepted task
- Compensation is tied to accepted work.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
More about this job
Responsibilities
The ML Engineer at Mercor will use AI coding agents to build and assess machine learning work. They will review model-generated code for training, inference, MLOps and LLM applications, find bugs and performance problems, and compare outputs from different AI models.
Requirements
Candidates need at least 2 years of professional machine learning engineering experience, including production ML systems or LLM applications. They must regularly use AI coding agents such as Cursor or Claude Code and be able to judge the quality of model-generated ML code.
Skills
- Machine learning engineering
- AI coding agents
- Cursor
- Claude Code
- Codex
- Windsurf
- Gemini CLI
- MLOps
- LLM applications
- Model deployment
- Model training
- Inference systems
- Code review
- Model evaluation
- Debugging
- Performance analysis
- Production ML systems
- Technical tradeoff analysis
Categories
- Technology
- Software
- Data & Analytics
Keywords
- Machine Learning Engineer
- AI coding agent
- Cursor
- Claude Code
- Codex
- Windsurf
- Gemini CLI
- MLOps
- LLM applications
- model deployment
- model training
- inference systems
- AI engineering
- code review
- contract
- remote
- AI evaluation
- machine learning
- AI-powered products
- ML infrastructure
Seniority
Mid level
Tools
- Cursor
- Claude Code
- Codex
- Windsurf
- Gemini CLI
Languages
- English