Drimva

Raydar

Member of Technical Staff - Applied ML

$175K–$350K

New York, New York · Staff · Full-time · Posted Oct 28, 2026

Experience
Four to twelve years as a machine learning engineer.
Education
A CS, Physics, Math, or related technical degree from a top school.
Visa sponsorship
Visa transfers and sponsorship are available.

About the job

Own end-to-end applied ML projects that bring reliable, self-evaluating AI agents into production.

What you'll do

  • Design multi-agent architectures with autonomy boundaries, tool use, and fallback behavior.
  • Build offline and online evaluation pipelines and instrument systems to detect regressions and guide improvement.
  • Engineer context and retrieval systems, including prompt stacks, indexing pipelines, and document parsing.

What they ask for

  • Four to twelve years as a machine learning engineer, including end-to-end LLM-based agent applications, benchmarking, orchestration, and evaluations.
  • Experience at a fast-paced Series A–D startup, quant or hedge fund, or top-tier technology company.
  • Experience running structured ML experiments and building evaluation infrastructure.
  • A CS, Physics, Math, or related technical degree from a top school; clear communication skills.

Nice to have

  • Deep Python expertise and LLM or transformer-based systems.
  • Interest in AI’s impact on professional services and the economy.

Pay

$175,000-$350,000 USD base salary

Tools

Python

AI focus

Develop production multi-agent systems that reason, plan, evaluate themselves, and improve through experiments and feedback.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)