{"data":{"id":222130,"slug":"intelligence-lead-wildlife-ai-edge-systems","type":"job","title":"Intelligence Lead Wildlife AI & Edge Systems","description":"About Flox Intelligence\nFlox Intelligence AB is a Stockholm-based wildlife intelligence company (KTH spin-off, founded 2020) building edge AI and bioacoustic systems for real-time wildlife detection and non-lethal deterrence at airports, railways, roads and critical infrastructure. Our FloxEdge devices are deployed with customers in Europe and North America, and we are scaling production to 1,000 units.\nThe role\nWe are looking for an Intelligence Lead to own the intelligence layer of the Flox platform: the machine-learning models, data pipelines and evaluation systems that turn camera, acoustic and sensor data from FloxEdge units into reliable wildlife detection, classification and behaviour understanding in the field.\nYou will\nLead the design, training and deployment of computer-vision and bioacoustic ML models for edge devices with limited compute\nOwn the data pipeline end to end: dataset curation, annotation strategy, quality control, versioning and evaluation\nDefine and track model quality metrics (precision\/recall, false-alarm rates, latency) across deployments and drive continuous improvement from field data\nWork closely with embedded, hardware and product teams to ship models to FloxEdge hardware and monitor them in production\nSupport customer and research projects (e.g. rail, airport and infrastructure pilots) with analysis and technical input\nContribute to grant and R&D projects and mentor other engineers and analysts\n\nRequirements\nUniversity degree (MSc or equivalent) in computer science, engineering, physics, applied mathematics or a related field\nAt least 3 years of hands-on experience in machine learning \/ computer vision, including deploying models in production\nStrong Python skills and experience with PyTorch or TensorFlow, and with data tooling (e.g. cloud storage, experiment tracking)\nExperience with edge\/embedded inference (model optimisation, quantisation, NVIDIA Jetson or similar) is highly meritorious\nExperience with bioacoustics, ecology or wildlife data is a plus\nFluent English; Swedish is not required\n\nWhat we offer\nPermanent full-time position in Stockholm, fixed monthly salary, occupational pension and insurance, 25 days of vacation and a qualified employee stock option programme. Hybrid work possible.","language":"sv","is_translated":true,"title_original":"Intelligence Lead  Wildlife AI & Edge Systems","description_original":"About Flox Intelligence\n Flox Intelligence AB is a Stockholm-based wildlife intelligence company (KTH spin-off, founded 2020) building edge AI and bioacoustic systems for real-time wildlife detection and non-lethal deterrence at airports, railways, roads and critical infrastructure. Our FloxEdge devices are deployed with customers in Europe and North America, and we are scaling production to 1,000 units.\nThe role\n We are looking for an Intelligence Lead to own the intelligence layer of the Flox platform: the machine-learning models, data pipelines and evaluation systems that turn camera, acoustic and sensor data from FloxEdge units into reliable wildlife detection, classification and behaviour understanding in the field.\nYou will\nLead the design, training and deployment of computer-vision and bioacoustic ML models for edge devices with limited compute\nOwn the data pipeline end to end: dataset curation, annotation strategy, quality control, versioning and evaluation\nDefine and track model quality metrics (precision\/recall, false-alarm rates, latency) across deployments and drive continuous improvement from field data\nWork closely with embedded, hardware and product teams to ship models to FloxEdge hardware and monitor them in production\nSupport customer and research projects (e.g. rail, airport and infrastructure pilots) with analysis and technical input\nContribute to grant and R&D projects and mentor other engineers and analysts\n\nRequirements\nUniversity degree (MSc or equivalent) in computer science, engineering, physics, applied mathematics or a related field\nAt least 3 years of hands-on experience in machine learning \/ computer vision, including deploying models in production\nStrong Python skills and experience with PyTorch or TensorFlow, and with data tooling (e.g. cloud storage, experiment tracking)\nExperience with edge\/embedded inference (model optimisation, quantisation, NVIDIA Jetson or similar) is highly meritorious\nExperience with bioacoustics, ecology or wildlife data is a plus\nFluent English; Swedish is not required\n\nWhat we offer\n Permanent full-time position in Stockholm, fixed monthly salary, occupational pension and insurance, 25 days of vacation and a qualified employee stock option programme. Hybrid work possible.","available_locales":["en"],"price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":null,"full_address":null,"city":"Stockholm","country":"SE","latitude":59.3251172,"longitude":18.0710935},"metadata":{"region":"Stockholms l\u00e4n","duration":"Tills vidare","employer":"Flox Intelligence AB","positions":1,"profession":"Data scientist","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"Data\/IT","employer_workplace":"Flox Intelligence AB","experience_required":true,"employment_type_label":"Tillsvidareanst\u00e4llning (inkl. eventuell provanst\u00e4llning)"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":2,"bot_views_count":5,"ai_vendor_counts":{"openai":1,"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"sara@floxintelligence.com","images":[],"published_at":"2026-09-18T23:45:20+00:00","expires_at":"2026-09-30T23:59:59+00:00","created_at":"2026-09-19T03:27:05+00:00","updated_at":"2026-09-22T03:22:59+00:00"}}