Machine Learning Engineer
Dimensions Agri Technologies
- Frist Snarest
- Ansettelsesform Fast
Pioneering Vision AI for Sustainable Agriculture
Your Role
As a Machine Learning Engineer, you will work at the cutting edge of machine vision for agriculture, developing technology that ranks among the most performant of its kind globally. Supporting sustainable farming, you will take on technically challenging and rewarding work.
Your responsibilities include both model development and data management. The role involves field work and cooperation with researchers across Europe. With broad technical ownership over the ML pipeline, you will:
Develop and optimize neural networks for real-time inference on Jetson devices, including quantization, TensorRT integration and latency profiling
Own the full model lifecycle from training through deployment, including evaluation pipelines
Manage large proprietary and open datasets and annotation workflows
You will join a skilled and fast-moving engineering team combining expertise in computer vision and embedded systems. Being a central part of a growing team, you will help in shaping the organization going forward.
Qualifications
Passion for computer vision
Experience with AI models for image classification
2+ years of professional experience (can be compensated for by exceptional academic track record and relevant student projects)
Education: B.sc. or M.sc. in robotics, computer science, data science or similar
Why DAT
See your work deployed and making an immediate impact on farms, helping growers and the food industry become more sustainable
Work on state-of-the-art AI in a collaborative and innovative environment
Join an international team, working with leading research institutions across Europe
Enjoy competitive salary and equity options
Be part of a supportive and dynamic team culture that values creativity and growth
Join a fast-growing team and play a key role in shaping the future of our AI organization
About DAT
Dimensions Agri Technologies (DAT) provides intelligent camera systems for precise pesticide spraying: Targeted spraying reduces chemical use by 50% and improves crop health and yield by 5%, improving farmer economics. We make modern farming more sustainable with state-of-the art machine vision, camera hardware and deep knowledge on farmers’ practice.
DAT is in a strong commercial growth phase, supporting farmers across Europe through distributors in selected markets. We have recently secured funding from a major international ag-tech group, enabling further technological and commercial development. In 2025, we also entered an industrial partnership with the Kverneland Group, strengthening our path to scale. With this momentum, we plan to significantly expand our team over the next year.
This is an opportunity to take early responsibility, help shape a growing AI team, and have a direct impact on our technology and its effect in fields across Europe.
Ferdigheter
- Computer vision
- Machine learning software
- Python (dataprogrammering)
- PyTorch
Om arbeidsgiveren
Dimensions Agri Technologies (DAT) develops intelligent camera systems which enable targeted spraying and reduce chemical by on average 50%, improving the health of the crop and the farmer’s economy. We make modern farming more sustainable with state-of-the art machine vision, camera hardware and deep knowledge on farmers’ practice.
Supporting farmers in across Europe, we are in a strong commercial growth phase and will expand our team significantly over the next year. This is an opportunity to take early responsibility, shape a growing AI team, and have a direct impact on our technology and its effect in fields across Europe.
- Sektor: Privat
- Sted: Nygårdsveien 24, 1423 Ski
- Hjemmekontor: På kontoret
- Bransje: IT, Jordbruk og skogbruk
- Stillingsfunksjon: AI / Maskinlæring, Data Scientist
- Arbeidsspråk: Engelsk, Norsk
JobbMatch
BetaEr du kvalifisert for jobben?
Nysgjerrig på om du kvalifiserer til denne jobben? Med JobbMatch får du umiddelbar tilbakemelding på hvor godt din profil matcher stillingsutlysningen.
Nøkkelord
Computer vision, Machine vision, Embedded AI, AI, Machine learning
(1/6)
Annonseinformasjon
- FINN-kode 440485830
- Sist endret