Technical Developer - Machine Learning
at Smart Eye AB
Göteborg, Västra Götalands län, Sweden -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 02 Oct, 2024 | Not Specified | 03 Jul, 2024 | N/A | Software,Mathematics,Computer Science,Design,Continuous Integration,C++,Image Processing | No | No |
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Description:
- Applications are considered on a rolling basis
- Gothenburg
- Hybrid
- Applications are considered on a rolling basis
- Gothenburg
- Hybrid
COME JOIN US - WE ARE LOOKING FOR A NUMBER OF CURIOUS PEOPLE!
Smart Eye’s algorithm teams are looking for experienced Machine Learning Engineers who are interested in developing our computer vision and machine learning solutions.
We provide a high tech working environment in an exciting and expanding business and depending on your skills and interest you can work within a wide range of fields.
You will have great opportunities to personal development, challenges and great fun. You will work with highly talented people and join our spirit of an open, inclusive and creative culture. We believe in true teamwork where everyone is important. You find us in modern premises at Järntorget, in the city-center of Gothenburg, with convenient access by bus, bike, tram, boat, and car. And on top of that; the best coffee in town!
WORK DESCRIPTION
You will be part of one of Smart Eye’s algorithm development teams responsible for development in key areas such as head- and eye-tracking, attentiveness and drowsiness, face identification and interior sensing for our Automotive Cabin and Driving Monitoring product. We work in an international environment with colleagues in Boston (US) and Cairo (Egypt).
We are building safety features in novel technology that will significantly improve road safety and will transform our transportation experiences. Safety features such as determining people’s seating locations in a vehicle, if they are wearing seat belts, and detection of left-behind children, as well as features that enhance comfort, wellness, and entertainment by detecting occupants’ emotions and gestures.
Development activities range from early-stage prototyping to porting and deployment to a wide set of automotive embedded platforms.
We solve these challenging problems utilizing state-of-the-art algorithms in the fields of image processing, the latest machine learning techniques, mathematics and accelerated computing.
You will have an active impact of the processes and projects and will work in close cooperation with other talented team members. Your contribution to how we can meet our customers needs with tomorrow’s technology will be of crucial importance.
Reporting to: Group Manager in Automotive Solutions’ Development
Location: Smart Eye AB, Headquarters (Gothenburg)
We will start to call for interviews in week 33. Welcome with your application during Summer break.
MUST-HAVE-SKILLS:
- University degree within Engineering context preferably Physics, Mathematics, Computer Science, Software Engineering or similar.
- 2+ years of software development experience.
- Experience using end-to-end development (design, planning, evaluation, deployment) of a machine learning based system.
- 1+ year of work experience in C++ and/or Python development.
- Strong communication and team collaboration skills.
GOOD-TO-HAVE-SKILLS:
- Experience with optimizing Deep Learning model architectures and inference runtimes (ex. Tensorflow, Tensorflow Lite, PyTorch).
- Experience in one or more fields of image processing or graphics programming.
- Experience with CI/CD (Continuous Integration and Deployment).
- Experience with developing software for the Automotive industry.
How To Apply:
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Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Computer Software/Engineering
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Engineering context preferably physics mathematics computer science software engineering or similar
Proficient
1
Göteborg, Sweden