Machine Learning Research Engineer
Raydar
Machine Learning Research Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · New York, United States · Full-time · Posted 2026-11-14
Workplace: on_site
About the company
Our client is an artificial intelligence company.
The role
Raydar is recruiting for this role on behalf of our client. Carry out hands-on research on publicly available neural networks, testing methods for the early and refinement stages of learning, and build the measurement tools that confirm whether a change genuinely helps. The role takes a research question from first idea through to a working implementation, working closely with engineers who build production systems, and calls for a high degree of independence.
What you'll do
- Plan and carry out studies on publicly available neural networks, choosing the learning method that suits each question.
- Build systems that transform records of human work into material suitable for learning.
- Explore ways to represent workflows, context and decisions so that model performance improves.
- Create measures of output quality and dependability across lengthy, multi-step tasks.
- Set up repeatable experiment and training routines.
- Work alongside infrastructure engineers to move proven methods into live systems.
- Take a research question from first idea to a working result, owning each step.
- Investigate failed training runs and tell real gains apart from results that only look promising.
What we're looking for
- 2 to 5 years of relevant experience.
- Practical, hands-on time with publicly available neural networks, including their foundational or refinement training phases.
- Coding proficiency proven by building research prototypes, learning infrastructure or repeatable test setups.
- Track record standing up data preparation flows for learning systems and gauging trained model quality.
- Experience designing studies independently and working out why training runs fail.
- Sound grasp of how data quality, parameter tuning, measurement and study design interact.
- Ability to turn research findings into measurable gains on extended tasks.
- Comfort working on-site five days per week.
Bonus points
- Prior work at an organization centered on applied AI is a plus.
- Work with models that learn from records of how people carry out tasks.
- Familiarity with making learning runs faster and cheaper, or with spreading computation across many machines.
- Shared research outputs or public code that others can use.
- Startup or entrepreneurial experience.
Compensation and benefits
- Equity
- Health, dental and vision coverage
Location and work model
- New York, NY, United States
- On-site, five days per week in office
- Full-time
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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.
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