Frontier AI ML Engineer — Evaluation & Production Systems

Obsidian; New York (NY); Remote; USD 4,000 - 7,000; Full time

Job summary

Obsidian is seeking contributors to evaluate frontier AI coding models through structured technical assessments. You will work on realistic ML engineering workflows, model evaluation, and production-ready deployment considerations.

The role emphasizes hands-on use of frontier agents, reviewing model-implemented systems, and applying engineering judgment to complex ML scenarios. Collaboration and rapid iteration are key.

Qualifications

• 2+ years of professional ML engineering experience.
• Experience building production ML systems and deployment infra.
• Experience using AI coding agents.
• Ability to evaluate model-generated ML implementations.

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex ML tasks.
• Review model-generated implementations including training, inference, MLOps, and LLM apps.
• Identify bugs, edge cases, performance issues, and failure modes.
• Compare outputs from frontier models and assess strengths and weaknesses.
• Apply professional engineering judgment to realistic ML scenarios.

Skills

ML engineering

Model evaluation

Debugging performance

MLOps

AI tooling

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Obsidian is seeking contributors to evaluate frontier AI coding models through structured technical assessments. You will work on realistic ML engineering workflows, model evaluation, and production-ready deployment considerations.

The role emphasizes hands-on use of frontier agents, reviewing model-implemented systems, and applying engineering judgment to complex ML scenarios. Collaboration and rapid iteration are key.