GenAI ML Engineer — Advanced Research & Production

Mercor; United States; Teletrabalho; USD 130 000 - 195 000; Tempo parcial

Resumo da oferta

Mercor seeks researchers to join its GenAI team, driving cutting-edge development of large language models and related ML systems. You will guide cross-disciplinary teams, design complex ML tasks, and produce runnable reference solutions.

The role emphasizes performance evaluation, rigorous data pipelines, and reproducible results. The ideal candidate has 4+ years in ML/data science or scientific computing, with strong Python expertise and a track record of publications or open-source

Qualificações

• 4+ years of dedicated professional or research experience in ML, data science or scientific computing at a top-tier org or university.
• Proficiency with PyTorch, JAX or TensorFlow and strong Python (NumPy, Pandas, scikit-learn).
• Publications/open-source contributions or shipped ML systems are a strong plus.

Responsabilidades

• Join a leading AI lab's GenAI team and contribute to advanced LLM development.
• Guide research and engineering teams to improve AI model performance.
• Design and implement challenging ML tasks with runnable reference solutions.
• Evaluate ML tasks and provide clear technical feedback.
• Develop rubrics to assess methodology, correctness and reproducibility.
• Collaborate with SME to ensure data quality and consistency.

Conhecimentos

Strong Python (NumPy, Pandas, scikit‑L

Publications/Open‑source contributions

Career progression demonstrated

Formação académica

MS in a quantitative field

PhD in a quantitative field

Ferramentas

PyTorch

JAX

TensorFlow

Descrição da oferta de emprego

Mercor seeks researchers to join its GenAI team, driving cutting-edge development of large language models and related ML systems. You will guide cross-disciplinary teams, design complex ML tasks, and produce runnable reference solutions.

The role emphasizes performance evaluation, rigorous data pipelines, and reproducible results. The ideal candidate has 4+ years in ML/data science or scientific computing, with strong Python expertise and a track record of publications or open-source