ML Engineer - Coding Agent Expert

Obsidian; Berlin; Vor Ort; EUR 400.114 - 569.859; Teilzeit

Zusammenfassung

Obsidian is offering an exciting opportunity for machine learning engineers in Berlin. You will work on a Frontier Code Agents project, participating in the evaluation and improvement of frontier AI coding models through structured technical assessments.

The role requires 2+ years of experience and the use of AI coding agents. Compensation is project-based, with $400 per accepted task for tasks that take approximately 2–3 hours to complete.

Qualifikationen

• 2+ years of professional machine learning engineering experience.
• Experience building production ML systems or AI-powered products.
• Regular use of AI coding agents.

Aufgaben

• Complete and evaluate complex AI engineering tasks.
• Review model implementations and identify issues.
• Compare outputs from multiple models for assessment.

Kenntnisse

Machine learning engineering

Model deployment infrastructure

Evaluation of AI coding agents

Tools

AI coding agents (Cursor, Claude Code)

MLOps tools

Jobbeschreibung

About the Role

• Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.
• Contributors help evaluate and improve frontier AI coding models through structured technical assessments.
• The work focuses on realistic machine learning engineering workflows and model evaluation.
• Spots are limited and filling quickly on a first come, first serve basis.

What You'll Do

• 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.

Time Commitment

Sprint based project that runs in 12-24 hour stretches based on client requirement.

Compensation

• $400 per accepted task.
• Typical tasks take approximately 2–3 hours after ramp-up.
• Compensation is tied to accepted work.

Who Should Apply

• 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.
• Experience deploying ML systems to production is preferred.