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David Careers

Member of Technical Staff

Posted 2 days ago

people in aiJersey City (NJ)
Computer and Information Research ScientistsComputer Systems Design Services

SENIORITY

Lead

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About the role

Member of Technical Staff$1,000,000-$1,750,000NYC (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, PandasRay, Apache Spark, KubernetesMLflow 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.

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