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Matchad från extern källa med fokus på intelligence lead wildlife ai & edge systems i Stockholm · Stockholms län · Sverige. Nästa steg är att öppna ansökan hos Arbetsförmedlingeneller fortsätta jämföra liknande jobb direkt här på Marketplace.
About Flox Intelligence
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.
The role
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.
You will
- Lead the design, training and deployment of computer-vision and bioacoustic ML models for edge devices with limited compute
- Own the data pipeline end to end: dataset curation, annotation strategy, quality control, versioning and evaluation
- Define and track model quality metrics (precision/recall, false-alarm rates, latency) across deployments and drive continuous improvement from field data
- Work closely with embedded, hardware and product teams to ship models to FloxEdge hardware and monitor them in production
- Support customer and research projects (e.g. rail, airport and infrastructure pilots) with analysis and technical input
- Contribute to grant and R&D projects and mentor other engineers and analysts
Requirements
- University degree (MSc or equivalent) in computer science, engineering, physics, applied mathematics or a related field
- At least 3 years of hands-on experience in machine learning / computer vision, including deploying models in production
- Strong Python skills and experience with PyTorch or TensorFlow, and with data tooling (e.g. cloud storage, experiment tracking)
- Experience with edge/embedded inference (model optimisation, quantisation, NVIDIA Jetson or similar) is highly meritorious
- Experience with bioacoustics, ecology or wildlife data is a plus
- Fluent English; Swedish is not required
What we offer
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.