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Raydar

AI-powered recruiting agency for tech roles

Machine Learning Engineer

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

About the Job

Requirements

  • At least 3 years of experience releasing and improving machine learning models in production.
  • Strong Python software engineering skills, including experience writing production-grade code rather than only exploratory notebooks.
  • Experience working with AWS.
  • A track record of investigating model underperformance on unfamiliar inputs, curating training data, and improving both precision and recall.
  • A background in natural language processing, ideally with text extraction or entity-focused tasks.
  • Experience expanding labeling throughput or adapting models to additional data types, plus familiarity with fine-tuning transformer models and inference optimization.
  • Startup experience and a clear record of career progression.

Responsibilities

  • Own a production model end to end, including retraining, failure analysis, and releasing measurable accuracy improvements.
  • Design and scale data labeling approaches, including active learning and LLM-assisted review.
  • Extend existing capabilities to new data types such as audio, video, and tabular data.
  • Combine rules-based methods, classical machine learning, fine-tuning, and large language model techniques to solve entity recognition and resolution problems, choosing the approach based on evidence.
  • Build evaluation benchmarks and experiment tooling so that improvements move from discovery to production faster and more repeatably.

Desired Qualifications

  • A STEM undergraduate degree from a highly ranked US university.

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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