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Raydar

AI-powered recruiting agency for tech roles

Member of Technical Staff - Applied ML

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Four to twelve years as a machine learning engineer, including end-to-end large language model-based agent applications with benchmarking, orchestration, and evaluations.
  • Experience at a fast-paced startup (Series A to D), a quant or hedge fund, or a top-tier technology company.
  • Experience running structured machine learning experiments and building evaluation infrastructure.
  • A degree in Computer Science, Physics, Mathematics, or a related technical field.
  • Currently located in the United States or Canada; East Coast location is preferred.
  • Clear communication skills, including the ability to explain complex ideas.

Responsibilities

  • Design and iterate multi-agent architectures, defining autonomy boundaries, tool use, and fallback behavior to make agents safe and reliable.
  • Build scalable offline and online evaluation pipelines that run hundreds of experiments, including golden tasks, labeling strategies, and metrics.
  • Instrument the stack to detect regressions, track error taxonomies, and drive closed-loop improvement.
  • Engineer context and retrieval, including prompt stacks, indexing pipelines, and parsing messy documents into structured representations.
  • Scope projects clearly, write concise specifications, and communicate progress within the pod.
  • Own end-to-end projects that bring intelligence into production, including planning projects, defining success, running experiments, and determining when a system is ready to ship.

Desired Qualifications

  • Deep Python expertise and experience with large language model or transformer-based systems.
  • Interest in the impact of artificial intelligence on professional services and the economy.

About the Company

Raydar

AI-powered recruiting agency for tech roles

Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Santa Monica, CA
Founded
2021

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