{"id":142257,"url":"https://alion.io/job/bucket-robotics-ml-engineer-2","title":"ML Engineer","company":{"id":47065,"name":"Bucket Robotics","domain":"bucket.bot","url":"https://alion.io/company/bucket-robotics","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Sim-to-Real","optional":true}],"status":"live","first_seen_at":"2026-08-27T23:30:20Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-21T00:22:34Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"Role Overview\nBucket Robotics is hiring a Machine Learning Engineer to push the frontier of CAD-native computer vision for manufacturing. You’ll work on the core ML systems that turn 3D geometry and synthetic data into reliable, production-grade vision models deployed on factory floors.\nThis role is perfect for someone who gets genuinely excited about new research ideas, enjoys deep analytical thinking, and wants to see those ideas survive contact with reality-edge deployment, distribution shift, weird lighting, and all.\nYou’ll operate at the boundary between research and production: exploring new approaches, validating them rigorously, and shipping the ones that work.\nResponsibilities\nDesign, train, and evaluate computer vision and ML models for inspection and perception\nDevelop novel approaches for learning from CAD, synthetic data, and limited real-world data\nRun rigorous experiments to understand model behavior, failure modes, and tradeoffs\nImprove model robustness across lighting, materials, viewpoints, and manufacturing variation\nOptimize models for edge deployment (latency, memory, reliability)\nCollaborate closely with engineering to integrate models into production systems\nBuild evaluation frameworks and metrics that reflect real-world manufacturing requirements\nStay current with cutting-edge research and proactively test promising ideas\nRequired Qualifications\n3+ years experience developing ML systems in research or production environments\nStrong foundation in machine learning fundamentals and statistical reasoning\nHands-on experience training deep learning models (e.g. PyTorch)\nStrong Python skills and comfort working in experimental codebases\nEnjoys deep problem-solving, experimentation, and analytical thinking\nComfortable operating in ambiguity and iterating quickly\nPreferred Qualifications\nExperience in computer vision, 3D vision, or geometry-aware ML\nFamiliarity with synthetic data generation, simulation, or domain randomization\nExperience deploying models to edge or resource-constrained environments\nBackground in robotics, manufacturing, or physical-world ML systems\nAuthored technical reports, blog posts, or peer-reviewed research\nPrevious startup or early-stage company experience\nWhat We Offer\nCompetitive salary & meaningful equity - help define the core ML systems of the company\nComprehensive benefits - health, dental, and vision insurance\nProfessional development budget - conferences, courses, and research exploration\nA chance to work on hard problems - ML that has to work in the real world, not just benchmarks\nOur Values\nInnovation First: We push the boundaries of what's possible in ML and advanced manufacturing\n\nOwnership Mentality: We take responsibility and act like founders\n\nCollaborative Spirit: We work together to solve complex challenges\n\nContinuous Learning: We're always growing and improving\n\nBucket Robotics is an equal opportunity employer. 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