Intelligence Lead Wildlife AI & Edge Systems
Flox Intelligence ABSammanfattning
Flox Intelligence AB, a Stockholm-based wildlife intelligence company, is seeking an Intelligence Lead to manage the intelligence layer of their platform. This role involves developing machine-learning models and data pipelines for wildlife detection using FloxEdge devices. The position is based in Stockholm and offers a permanent full-time contract with hybrid work options.Jobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Det här erbjuder vi
Permanent full-time position in Stockholm.Fixed monthly salary.Occupational pension and insurance.25 days of vacation.Qualified employee stock option programme.Hybrid work possible.
Ansök senast: 2026-09-30
Publicerad: 2026-09-18
Beskrivning
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.
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.
Ansök till tjänsten
Intelligence Lead Wildlife AI & Edge Systems
OM FÖRETAGET
Flox Intelligence AB
