Member of Technical Staff

Member of Technical Staff — AI Lab

NYC - 4 days in office

$1.5 million (Base + Bonus + equity)

About the lab

Join a small, elite AI lab tackling high-stakes problems with real-world impact. The team blends startup speed with serious resources. Engineers and researchers work side by side, moving fast, giving direct feedback, and shipping systems that matter.

What you’ll do

• Own the full ML lifecycle from idea to production: data prep, training, diagnostics, iteration, deployment, and monitoring
• Collaborate closely with research scientists to choose methods, design experiments, and interpret results
• Build reliable, maintainable production code in Python and modern ML tooling
• Partner with research scientists to prototype new modeling ideas, evaluate them rigorously, and productionize successful approaches.
• Help evolve distributed ML infrastructure across Ray, Spark, Kubernetes, and cloud-native systems.
• Improve performance across data loading, training loops, and inference paths, with a focus on latency, memory, throughput, and reliability.
• Design logging, diagnostics, and evaluation checks that make model improvements explainable, durable, and production-ready.
• Contribute to systems that support high-frequency iteration while meeting real-world SLAs.

What You’ll Bring

• Strong software engineering fundamentals and experience shipping ML systems into production.
• Hands-on experience across classical ML and deep learning, with good judgement around when to start simple and when to scale complexity.
• Familiarity with distributed training, batch and real-time ML workflows, and low-latency serving.
• Experience debugging production incidents, improving reliability, and building observable systems.
• Comfort working closely with researchers in a fast-paced, high-feedback environment.
• Ability to communicate technical decisions clearly and explain the story behind model performance improvements.

Why Join?

This is a rare opportunity to work on AI systems where model quality, engineering execution, and real-world outcomes are tightly connected. You’ll join a small, elite team of researchers and engineers building models that operate directly in live markets, not simply tools that advise human decision-makers.

The environment is highly collaborative, intellectually demanding, and fast-moving. Engineers and scientists work as peers, moving ideas from paper to production with a high degree of ownership. The team also works closely with major cloud and distributed computing ecosystems, often pushing beyond open-source defaults when performance demands it.

Benefits include 100% covered health premiums, strong retirement matching, paid parental leave, wellness resources, on-site gyms, free meals, family-building support, and visa sponsorship availability.

About People In AI

People In AI is a specialist recruitment partner for high-growth AI, machine learning, and infrastructure teams. We work with some of the most ambitious companies and research-led organizations in the market, helping them hire exceptional technical talent across AI research, ML engineering, data infrastructure, and applied AI.