ML Engineer (Coding Agent Experience)

About the Role

This contract role is centered on evaluating and improving frontier AI coding models through structured technical review. The work is grounded in realistic machine learning engineering scenarios, with a strong emphasis on model assessment and applied engineering judgment. Availability is limited and candidates are being reviewed on a first-come, first-served basis.

Responsibilities

• Work with frontier AI coding agents to complete and assess advanced machine learning and AI engineering assignments.
• Examine model-produced solutions related to model training, inference systems, MLOps, and LLM-based applications.
• Spot defects, unusual edge cases, performance bottlenecks, and other failure patterns.
• Benchmark outputs from several leading models and compare their relative advantages and limitations.
• Use practical engineering judgment when solving realistic machine learning problems.

Time Commitment

This is a sprint-style engagement that may run in 12- to 24-hour blocks depending on client needs.

Ideal Candidate

• At least 2 years of professional experience in machine learning engineering.
• Hands-on background in production ML systems, deployment tooling, LLM applications, or AI-driven products.
• Frequent use of AI coding tools such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable platforms.
• Comfort evaluating machine learning implementations generated by models and weighing technical trade-offs.
• Prior experience deploying ML systems into production is an advantage.

Compensation

Payment is $400 for each accepted task. After ramp-up, most tasks are expected to take around 2 to 3 hours, and compensation is based on approved work.

Equal Opportunity

All qualified applicants are considered without regard to legally protected characteristics. Reasonable accommodations can be provided on request.