{"id":4303359,"url":"https://alion.io/job/raydar-machine-learning-research-engineer-3","title":"Machine Learning Research Engineer","company":{"id":4478753,"name":"Raydar","domain":"raydar.com","url":"https://alion.io/company/raydar-com","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":19,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-11-14T05:06:09Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T19:11:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the company\nOur client is an artificial intelligence company.\nThe role\nRaydar 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.\nWhat you'll do\n- Plan and carry out studies on publicly available neural networks, choosing the learning method that suits each question.\n- Build systems that transform records of human work into material suitable for learning.\n- Explore ways to represent workflows, context and decisions so that model performance improves.\n- Create measures of output quality and dependability across lengthy, multi-step tasks.\n- Set up repeatable experiment and training routines.\n- Work alongside infrastructure engineers to move proven methods into live systems.\n- Take a research question from first idea to a working result, owning each step.\n- Investigate failed training runs and tell real gains apart from results that only look promising.\nRequirements\nWhat we're looking for\n- 2 to 5 years of relevant experience.\n- Practical, hands-on time with publicly available neural networks, including their foundational or refinement training phases.\n- Coding proficiency proven by building research prototypes, learning infrastructure or repeatable test setups.\n- Track record standing up data preparation flows for learning systems and gauging trained model quality.\n- Experience designing studies independently and working out why training runs fail.\n- Sound grasp of how data quality, parameter tuning, measurement and study design interact.\n- Ability to turn research findings into measurable gains on extended tasks.\n- Comfort working on-site five days per week.\nBonus points\n- Prior work at an organization centered on applied AI is a plus.\n- Work with models that learn from records of how people carry out tasks.\n- Familiarity with making learning runs faster and cheaper, or with spreading computation across many machines.\n- Shared research outputs or public code that others can use.\n- Startup or entrepreneurial experience.\nBenefits\nCompensation and benefits\n- Equity\n- Health, dental and vision coverage\nLocation and work model\n- New York, NY, United States\n- On-site, five days per week in office\n- Full-time","description_format":"text","description_chars":2550,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-14T05:06:09Z"}],"visa":[{"country":"US","licensed_sponsor":false,"adverts_offering_sponsorship_24m":32,"sanctioned_now":false,"evidence":"Offered visa sponsorship in 32 of its adverts here in 24 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