This opportunity is for experienced
Machine Learning Engineers
interested in contributing to advanced AI research and evaluation projects focused on frontier AI coding models.
The role involves evaluating AI-generated machine learning implementations, assessing engineering quality, and applying real-world ML expertise to improve the performance of next-generation AI coding agents.
Responsibilities
- Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
- Review AI-generated implementations involving
model training, inference systems, MLOps, and LLM applications
.
- Identify bugs, edge cases, performance bottlenecks, and implementation failures.
- Compare outputs from multiple AI coding models and evaluate their technical strengths and weaknesses.
- Apply professional engineering judgment to realistic machine learning engineering workflows.
- Provide structured technical feedback to improve AI-generated code quality and model performance.
- Collaborate with technical reviewers to maintain consistent evaluation standards.
Required Qualifications
- 2+ years of professional Machine Learning Engineering experience.
- Experience building
production machine learning systems, model deployment infrastructure, LLM applications, or AI-powered products
.
- Regular experience using AI coding tools such as
Cursor, Claude Code, Codex, Windsurf, Gemini CLI
, or similar coding agents.
- Strong understanding of
machine learning workflows, model deployment, inference systems, and MLOps
.
- Ability to evaluate AI-generated machine learning implementations and engineering tradeoffs.
- Strong programming skills in
Python
and modern machine learning frameworks.
- Excellent analytical, problem-solving, and written communication skills.
Preferred Qualifications
- Exper
📌 Machine Learning Engineer – Agentic AI (España)
🏢 Synthires
📍 España
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