{"id":2829682,"url":"https://alion.io/job/janea-systems-senior-applied-computer-vision-engineer","title":"Senior Applied Computer Vision Engineer","company":{"id":4382598,"name":"Janea Systems","domain":"janeasystems.com","url":"https://alion.io/company/janea-systems","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":56,"open_postings":11,"ghost_share":0.727,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"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":"inferred","locations":[],"countries":[],"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":[{"name":"Computer Vision","optional":false},{"name":"Data Augmentation","optional":false},{"name":"DVC","optional":false},{"name":"FFmpeg","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OCR","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Weights & Biases","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-06-29T14:52:14Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-10-24T09:51:30Z","board_verified":true,"closed_at":null,"days_open":116,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":116},"description":"Janea Systems is looking for a Senior Computer Vision Engineer to join our team and support one of our clients in the sports analytics industry. In this role, you will help design, improve, and scale computer vision systems that transform sports video into actionable insights. The work will focus on video-based detection, tracking, camera calibration, homography, field registration, identity association, and adapting existing models and pipelines to new video sources, camera configurations, stadiums, and video-quality conditions.\nThis is a highly hands-on technical role for someone who combines strong computer vision fundamentals with practical engineering experience and the ability to drive initiatives from experimentation through production deployment. The ideal candidate is comfortable working independently, identifying weak points in existing systems, designing practical improvements, and collaborating with engineering, data, and platform teams to deliver production-ready solutions.\nLocation\nFully Remote/ European Residence required\nCompensation\nCompetitive, based on experience\nWork Schedule\nFull time/ Flexible working hours\nReports to\nHead of Engineering\nMember of\nEngineering Team\n\nTo be considered for this position, you must have the following qualifications:\nStrong hands-on experience building and improving production-grade computer vision systems.\n\nProficiency with Python and modern machine learning frameworks such as PyTorch.\n\nExperience with video-based computer vision problems, including object detection, multi-object tracking, event recognition, identity association, or video analytics.\n\nStrong working knowledge of geometric computer vision, including camera calibration, homography estimation, projective geometry, and mapping image-space detections to real-world 2D or 3D coordinates.\n\nExperience designing or improving tracking systems that handle occlusions, object interactions, identity preservation, noisy detections, and missing information.\n\nExperience evaluating model performance, identifying failure modes, and implementing practical improvements.\n\nExperience adapting models to challenging real-world data where video quality, camera angles, camera placement, and environmental conditions vary significantly.\n\nExperience with transfer learning, domain adaptation, data augmentation, and fine-tuning models on domain-specific datasets.\n\nStrong software engineering fundamentals and the ability to write clean, maintainable, production-quality code.\n\nAbility to work independently, prioritize effectively, and drive technical initiatives to completion.\n\nStrong communication skills and the ability to collaborate directly with clients and cross-functional engineering teams.\n\nIdeal candidates will also have:\nExperience working with sports video, sports analytics, broadcast video, or American football.\n\nExperience with multi-camera systems, image fusion, or 3D scene reconstruction.\n\nExperience with large-scale video processing pipelines.\n\nFamiliarity with FFmpeg, GPU-accelerated video workflows, and inference optimization.\n\nExperience with OCR, scene-text recognition, jersey-number recognition, or appearance-based re-identification.\n\nExperience with experiment tracking and model/data versioning tools such as MLflow, Weights & Biases, DVC, lakeFS, or similar.\n\nExperience deploying machine learning models into production environments.\n\nExperience with model monitoring, performance tracking, and operational support.\n\nExperience designing human-in-the-loop workflows for labeling, validation, quality control, or model improvement.\n\nExperience acting as a technical lead, architect, or principal engineer on computer vision or machine learning initiatives.\n\nFamiliarity with backend systems, cloud infrastructure, DevOps, or MLOps practices.\n\nResponsibilities:\nDevelop and improve computer vision models for sports video, including player and ball detection, tracking, event recognition, and identity association.\n\nBuild and improve camera calibration, homography, and field-registration solutions that map image coordinates into normalized field coordinates.\n\nAnalyze existing computer vision pipelines, establish baselines, identify weak links, and recommend practical improvements.\n\nImprove tracking robustness across different stadiums, camera placements, broadcast styles, video qualities, and environmental conditions.\n\nDesign experiments covering data acquisition, dataset creation, augmentation, model training, fine-tuning, evaluation, and deployment readiness.\n\nAnalyze failure modes and implement improvements that increase accuracy, reliability, scalability, and robustness.\n\nAdapt existing models and pipelines to support new sports, leagues, camera configurations, and video sources.\n\nPartner with data teams on labeling workflows, dataset quality, validation processes, and human-in-the-loop improvement cycles.\n\nWork closely with software, platform, and DevOps engineers to deploy computer vision models and pipelines into production environments.\n\nImprove inference performance, scalability, monitoring, and operational reliability.\n\nEstablish evaluation metrics, testing processes, and quality controls to ensure model performance remains consistent over time.\n\nLead initiatives end-to-end, from early technical discovery and prototyping through production deployment and ongoing improvement.\n\nContribute to system design decisions that integrate computer vision, machine learning, backend services, operations, and client workflows.\n\nCommunicate technical tradeoffs clearly with internal teams, client stakeholders, and engineering leadership.\n\nWhy join Janea? Because world-class talent deserves world-class opportunities. What we offer:\nCompetitive compensation with benefits, paid vacation, and sick leave.\n\nThe opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.\n\nUltra-flexible working conditions - we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.\n\nAn enjoyable, start-up work environment, with excellent opportunities for professional growth and development.\n\nFlexible working hours - as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.","description_format":"text","description_chars":6407,"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":["Flexible schedule"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United Kingdom","iso":"GB","kind":"region"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Czech Republic","iso":"CZ","kind":"region"},{"name":"Denmark","iso":"DK","kind":"region"},{"name":"Finland","iso":"FI","kind":"region"},{"name":"Hungary","iso":"HU","kind":"region"},{"name":"Ireland","iso":"IE","kind":"region"},{"name":"Italy","iso":"IT","kind":"region"},{"name":"Netherlands","iso":"NL","kind":"region"},{"name":"Norway","iso":"NO","kind":"region"},{"name":"Poland","iso":"PL","kind":"region"},{"name":"Romania","iso":"RO","kind":"region"},{"name":"Spain","iso":"ES","kind":"region"},{"name":"Sweden","iso":"SE","kind":"region"},{"name":"Switzerland","iso":"CH","kind":"region"},{"name":"Estonia","iso":"EE","kind":"region"},{"name":"Greece","iso":"GR","kind":"region"},{"name":"Iceland","iso":"IS","kind":"region"},{"name":"Latvia","iso":"LV","kind":"region"},{"name":"Liechtenstein","iso":"LI","kind":"region"},{"name":"Lithuania","iso":"LT","kind":"region"},{"name":"Luxembourg","iso":"LU","kind":"region"},{"name":"Malta","iso":"MT","kind":"region"},{"name":"Portugal","iso":"PT","kind":"region"},{"name":"Slovakia","iso":"SK","kind":"region"},{"name":"Slovenia","iso":"SI","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotic Software & Control Systems","Software"],"lifecycle":[{"event":"open","at":"2026-10-19T02:15:08Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.197,"p_room":0.28,"age_days":116,"expected_fill_days":30,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/janea-systems-senior-applied-computer-vision-engineer","json_url":"https://alion.io/job/janea-systems-senior-applied-computer-vision-engineer.json","meta":{"generated_at":"2026-10-24T12:06:54Z","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":17406,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":4382598},"rest":"https://alion.io/mcp/rest/get_company?id=4382598"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjanea-systems-senior-applied-computer-vision-engineer"},{"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%2Fjanea-systems-senior-applied-computer-vision-engineer"},{"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%2Fjanea-systems-senior-applied-computer-vision-engineer"},{"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/janea-systems-senior-applied-computer-vision-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjanea-systems-senior-applied-computer-vision-engineer"}]}