Staff ML Engineer – Production AI Systems

People In AI; New York (NY); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Radical transparency

Collaborative peer culture

Exceptional infrastructure and tooling

Job summary

A cutting-edge AI innovation lab in New York seeks a Member of Technical Staff to bridge research and high-reliability systems. In this role, you will partner with researchers to develop ML models from prototype to production, handling the full stack of ML workflows. Successful candidates will possess strong engineering skills and fluency with Python and core ML libraries like PyTorch. Join a small team with elite talent and drive real-world impact in AI and decision-making.

Qualifications

• Strong engineering skills and production-grade ML development experience.
• Deep fluency with Python and ML libraries such as PyTorch, NumPy, and Pandas.
• Ability to function across modeling, infrastructure, and deployment.

Responsibilities

• Partner with researchers on ML models, supporting full lifecycle.
• Own ML workflows including data ingestion and monitoring.
• Build diagnostics for explainability and stability of systems.

Skills

Strong engineering skills with a track record of production‑grade ML system development

Deep fluency with Python and core ML libraries such as PyTorch, NumPy, and Pandas

Ability to operate across the full stack: modeling, infrastructure, and deployment

Comfort with both traditional ML and neural approaches

Experience in debugging distributed systems and optimizing critical paths

A clear communicator who thrives in fast‑paced, feedback‑rich environments

MLflow or similar tools for experimentation and logging

Job description

A cutting-edge AI innovation lab in New York seeks a Member of Technical Staff to bridge research and high-reliability systems. In this role, you will partner with researchers to develop ML models from prototype to production, handling the full stack of ML workflows. Successful candidates will possess strong engineering skills and fluency with Python and core ML libraries like PyTorch. Join a small team with elite talent and drive real-world impact in AI and decision-making.