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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-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience building and training models from the ground up, rather than only building applications on top of third-party models.
  • A track record of shipping machine learning on multimodal data in a single pipeline.
  • A BS or MS in computer science, machine learning, or a related quantitative field.
  • Theoretical and practical command of neural network methods and current large-model approaches.
  • Ability to turn expert judgment into well-defined machine learning problems.
  • Comfort working with Python and PyTorch.
  • An autonomous working style suited to an early-stage environment and openness to occasional extra hours when urgent work arises.

Responsibilities

  • Build and train models that reason over multiple types of technical data, including images, geometry, and interaction logs.
  • Translate how skilled practitioners approach problems into structured criteria a model can apply.
  • Run the full learning loop by generating data, capturing trajectories, analyzing failures, curating datasets, and evaluating continuously.
  • Work alongside subject matter experts to turn their judgment into structured labels.
  • Deploy models into production pipelines that support live decisions.

Desired Qualifications

  • Experience on the machine learning side of a CAD or generative design company.
  • Machine learning experience at a chip, electronic design automation, or hardware company.
  • Familiarity with reinforcement learning from human feedback, reward modeling, or policy optimization.

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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