Member of Technical Staff

Member of Technical Staff, AI-Powered Decision Systems

$1,600,000 – $2,000,000

New York City(Hybrid)

Company Overview:

Join a confidential, high-performing AI innovation lab operating with an independent strategy and ownership. This small team of scientists and engineers builds and deploys fully autonomous systems to make high-stakes decisions in complex, real-world domains.

Mission & Product:

This lab is flipping the script on how advanced AI is applied to strategic decision-making. With several billion in assets already under management, the team has progressed from incubation to live deployment, leveraging machine learning to operate in a dynamic, data-rich environment. Their core belief: markets and other decision contexts can be treated as AI problems, understood, modeled, and acted upon by intelligent systems.

Role Summary:

As a Member of Technical Staff, you’ll help bridge the gap between cutting-edge research and high-reliability systems. You’ll work side-by-side with domain scientists to build platforms and pipelines that take ideas from prototype to production, supporting the full lifecycle of intelligent decision models.

What You’ll Do:

• Partner with researchers to iterate quickly on models, from initial experiments to scalable deployments
• Own the full stack of ML workflows: data ingestion, training, evaluation, deployment, and monitoring
• Improve platform capabilities for distributed training and real-time decision execution
• Tune systems for performance across speed, memory, and throughput
• Build diagnostics and checks that ensure outputs are explainable, stable, and future-resilient

What You’ll Bring:

• 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

Tech Stack:

• Python, PyTorch, NumPy, Pandas
• Ray, Apache Spark, Kubernetes
• MLflow or similar tools for experimentation and logging

Why Join?

• Drive real-world impact with full ownership of your work
• Join a small, fast-moving team with elite talent and strong backing
• Solve problems at the frontier of AI, decision systems, and complex domains
• Enjoy radical transparency, collaborative peer culture, and rapid iteration
• Benefit from exceptional infrastructure, tooling, and strategic technology partnerships

About People In AI:

People In AI is a specialized recruiting partner for top-tier AI & ML opportunities. We work with founders, VCs, and technical leaders to build world-class teams at the intersection of research and real-world impact.