Member of Technical Staff
People In AI
Member of Technical Staff
$1,000,000-$1,750,000
NYC (Hybrid)
Company Overview:
Join a confidential, high-performing AI innovation lab operating with 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.
Vacancy posted 16 days ago
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