{"id":2172038,"url":"https://alion.io/job/rivet-ml-researcher","title":"ML Researcher","company":{"id":3870400,"name":"Rivet","domain":"rivet.us","url":"https://alion.io/company/rivet-6","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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 Jose, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":290000,"currency":"USD","period":"year","gross":null,"usd_annual":290000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"LiteRT","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"SLAM","optional":true}],"status":"live","first_seen_at":"2026-07-01T22:42:32Z","employer_posted_date":"2026-07-01","last_verified_at":"2026-10-12T00:50:23Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":101},"description":"About Rivet\nRivet is an American company building integrated task systems - fusing hardened hardware with software, sensors, AI, and networking - for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world’s toughest environments.\nWe serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority.\nAt Rivet, you’ll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve.\nWork Authorization Requirement: Due to the nature of our business and compliance with federal regulations, all candidates must be a \"U.S. Person\". Upon hire, you will be required to provide documentation verifying your status as a U.S. Citizen, a lawful permanent resident, or a protected individual under 8 U.S.C. 1324b(a)(3).\nSummary\nWe are seeking a talented ML Researcher / Research Engineer to advance our computer vision and sensor fusion capabilities. This role combines cutting-edge research with practical implementation of machine learning pipelines for imaging, pose estimation, and model optimization. The ideal candidate will have strong expertise in Python, deep learning frameworks, and experience deploying ML models in production environments. You'll explore new ideas, validate them against the state of the art and deliver working prototypes that influence our product and research direction.\nResponsibilities\nImplement POCs in Python/C++ to validate ML ideas on embedded hardware\n\nConduct research in imaging and video processing pipelines for AR/VR applications\n\nDocument learnings and define clear pathways from prototype to production\n\nResearch and implement model optimization techniques for edge deployment\n\nStay current with latest developments in computer vision and machine learning literature\n\nPrototype novel algorithms and validate performance through experimentation\n\nDesign and implement end-to-end machine learning pipelines using PyTorch and TensorFlow Lite\n\nOptimize models for real-time performance on mobile and embedded platforms\n\nImplement MLOps best practices for model versioning, monitoring, and continuous integration\n\nCreate scalable data preprocessing and augmentation pipelines\n\nRequirements\nBS with a minimum of 5+ years of academic or industry experience in machine learning research or applied ML engineering with shipped or published work (or MS with 2+ yrs of the above)\n\nProficiency in Python with experience in ML frameworks (PyTorch, TensorFlow)\n\nExperience with ML pipeline development, model deployment, and production monitoring\n\nKnowledge of quantization, pruning, and edge deployment techniques\n\nPreferred Qualifications\nPhD in Computer Vision, Machine Learning, or related field\n\nPublications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML)\n\nExperience with AR/VR or mobile computer vision applications\n\nKnowledge of CUDA programming and GPU optimization\n\nExperience with cloud platforms (AWS, GCP, Azure) for ML workloads\n\nFamiliarity with containerization (Docker, Kubernetes) and CI/CD pipelines\n\nExperience with distributed training and large-scale data processing\n\nResearch Areas (at least one)\nImaging/Video Pipeline: Experience with computational photography, video processing, or camera systems\n\nSensor Fusion & Pose Estimation: Research background in multi-sensor data fusion, tracking, or SLAM\n\nModel Optimization: Experience optimizing ML models for mobile/embedded deployment\n\nFoundational Knowledge (preferred understanding)\nCamera Systems: Intrinsic/extrinsic calibration, pinhole model, distortion correction, FOV, color science, exposure control, stereo matching\n\nImage Processing: Demosaic, denoising, sharpening, color correction, tone mapping, gamma correction, HDR, super resolution, segmentation, white balance\n\nComputer Vision: Feature detection/matching, optical flow, structure from motion, 3D reconstruction, SLAM algorithms\n\nIMU & Sensor Fusion: 6DOF/3DOF tracking, gyroscope/accelerometer/magnetometer integration, sensor calibration, sensor fusion algorithms\n\nCompensation may vary within the posted range based on relevant experience, skills, education, and other job-related factors. In addition to base salary, this role may be eligible for equity and other forms of compensation. Eligible employees also receive a competitive benefits package, including unlimited PTO.\nRivet is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable law. Certain roles may require U.S. Person status, security clearance eligibility, or other requirements imposed by law or government contract.","description_format":"text","description_chars":5176,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics"],"lifecycle":[{"event":"open","at":"2026-10-09T12:34:04Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.238,"p_room":0.28,"age_days":100,"expected_fill_days":22,"reasons":["conf:1","stale_co","win:tail","crowd:"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":290000,"is_top_pay":true},"html_url":"https://alion.io/job/rivet-ml-researcher","json_url":"https://alion.io/job/rivet-ml-researcher.json","meta":{"generated_at":"2026-10-12T01:11:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1261,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3870400},"rest":"https://alion.io/mcp/rest/get_company?id=3870400"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frivet-ml-researcher"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frivet-ml-researcher"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frivet-ml-researcher"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/rivet-ml-researcher\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frivet-ml-researcher"}]}