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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$210k - $325k /yr

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required.
  • Strong proficiency in Python and common engineering or machine-learning frameworks is required.
  • A track record of shipping software that runs live for real users is required.
  • Working knowledge of data movement, service interfaces, and hosted compute in a public cloud is required.
  • Past hands-on work applying learned models or analytics-heavy software in practice is required.
  • Two to six years of relevant experience is required.
  • Prior work in a fast-paced startup setting, ideally as an early team member, is sought.

Responsibilities

  • Build, integrate, and deploy AI-powered services into production environments for business customers.
  • Fine-tune, evaluate, and apply machine-learning models to practical problems.
  • Design scalable pipelines for model training, inference, and data processing.
  • Improve the speed, capacity, cost, and reliability of production AI systems.
  • Work with large datasets and connect systems to internal tools and APIs.
  • Work with product, research, and design colleagues to deliver features end to end.
  • Set up evaluation methods, monitoring, and feedback loops for production AI systems.

Desired Qualifications

  • Experience deploying or scaling machine-learning systems at meaningful scale.
  • Familiarity with large language models, agents, or workflow automation.
  • Exposure to multi-machine computing or high-volume backend platforms.
  • Prior founding experience or end-to-end ownership of a product.

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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