{"id":1151474,"url":"https://alion.io/job/overview-ai-applications-engineer-san-francisco","title":"Applications Engineer, San Francisco","company":{"id":2779,"name":"Overview AI","domain":"overview.ai","url":"https://alion.io/company/overview","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":68,"open_postings":39,"ghost_share":0.538,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":110000,"currency":"USD","period":"year","gross":null,"usd_annual":110000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false}],"status":"live","first_seen_at":"2026-09-23T17:00:35Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T01:08:20Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Applications Engineer\n San Francisco, CA · Applications · Full time, in office\nCompensation: $80,000 to $110,000 USD base, plus an annual performance bonus of up to 20%.\nTravel: Up to 50%, typically lower.\nABOUTOVERVIEW.AI\nOverview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.\nWe're growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.\nTHE OPPORTUNITY\nThis is a hands on machine vision role for someone who wants to get deep, fast. You will split your time between the lab and live customer applications: evaluating a lens, optimizing a camera setup, building a proof of concept, troubleshooting an inspection that has to hold on a production line. The work moves from bench to factory floor in weeks, not quarters, and what you learn in the lab shows up directly in what we deploy.\nWHY THIS ROLE IS EXCITING\nBecome a genuine machine vision expert: optics, lighting, sensors, and AI inspection, on real parts and real lines.\n\nOwn the experiment. You decide how to test it, you write the report, the finding changes the deployment.\n\nSit at the seam of lab research and customer reality, where most vision engineers only ever see one side.\n\nWork directly with the most demanding manufacturers in the world, with Sales, Product, and Engineering a desk away.\n\nWHAT YOU'LL OWN\nLab testing and experimentation: Hands on testing with cameras, lenses, lighting, and other machine vision components.\n\nVision setup builds: Build and evaluate vision configurations for customer applications and internal projects.\n\nTechnical test reports: Run application tests and turn out clear, fast technical reporting others can act on.\n\nTechnology evaluation: Assess new components and technologies and call whether they improve our systems.\n\nCustomer support in the field: Testing, troubleshooting, deployment, and technical problem solving for local customers.\n\nAI vision workflow: Image collection, labeling, training, and model evaluation on AI based inspection systems.\n\nTeam enablement: Build the internal test setups, resources, and documentation the broader Applications team runs on.\n\nOptical and hardware projects: Camera calibration, new optical configurations, and hardware evaluation.\n\nWHO YOU ARE\nRequired\n1 to 3+ years in machine vision, computer vision, applications engineering, robotics, automation, manufacturing, or a related field.\n\nStrong hands on grasp of machine vision fundamentals: cameras, lenses, optics, lighting, and image acquisition.\n\nFamiliarity with lens types and when to use them, including telecentric lenses.\n\nWorking understanding of AI based vision and how it differs from traditional rules based vision.\n\nFamiliarity with image labeling, model training, classification, object detection, and segmentation.\n\nStrong troubleshooting instincts and a logical, experimental approach to technical problems.\n\nComfortable working hands on with hardware and testing approaches independently.\n\nAble to document and communicate technical findings clearly.\n\nEager to learn new technologies quickly, including industrial automation and PLCs.\n\nBased in San Francisco, working primarily from our office, with occasional travel to customer sites.\n\nStrong Preferences\nExperience with industrial machine vision systems in production.\n\nExperience selecting or evaluating cameras, lenses, lighting, or optical components.\n\nHands on experience with AI or deep learning inspection systems.\n\nExperience building proof of concept systems or running feasibility studies.\n\nExposure to PLCs, industrial controls, or manufacturing automation.\n\nExperience working directly with manufacturing customers.\n\nWHYOVERVIEW.AI\nExtreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.\n\nTalent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.\n\nFront-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.\n\nOwnership: Your work directly changes the trajectory of the company.\n\nGlobal exposure: You'll work with the most advanced customers and factories in the world.","description_format":"text","description_chars":4599,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["CDN","Computer Vision","Edge AI","Industrial AI"],"lifecycle":[{"event":"open","at":"2026-09-23T17:52:54Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:0","win:early"],"computed_at":"2026-09-24T01:23:08Z"},"pay":{"stated_usd_annual":110000,"is_top_pay":false},"html_url":"https://alion.io/job/overview-ai-applications-engineer-san-francisco","json_url":"https://alion.io/job/overview-ai-applications-engineer-san-francisco.json","meta":{"generated_at":"2026-09-24T01:23:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}