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But first, did you know this about Tobii?
We are the global leader in eye tracking, a position we earned through our passion for technology and our ambition to create tech for a better future. Our journey began more than 20 years ago when we delivered the world’s first remote eye tracker. Since then, we’ve been on a mission to build technology that understands human attention and intent — what we call attention computing. Headquartered in Stockholm, Sweden, Tobii covers a global market with a diverse client roster.
Tobii Autosense
Tobii Autosense brings the Tobii mission of harmonizing the connection between humans and machines — into the car. Our technology enables OEMs to build for tomorrow, pushing the boundaries of what’s possible, and achieve true in-cabin differentiation.
Visit our website to learn more about Tobii.
Being a Machine Learning Engineer
In this role, you will design, develop, and deploy edge-based Computer Vision ML models that tackle real-world problems for the Automotive In-Cabin Sensing functionality. You will collaborate closely with automotive product managers to identify a set of user-centric features for your machine learning models. You will also collaborate with software engineers to optimize the deployment of such models into production and will also collaborate with our data management team to define an efficient data acquisition, annotation and curation pipeline to fuel your model.
Here’s what your normal day looks like:
- Design, develop, and maintain scalable machine learning models, pipelines and frameworks.
- Collaborate with cross-functional teams to define problems, collect data, and evaluate model performance.
- Research, implement and evaluate ML algorithms using modern frameworks such as Pytorch or Scikit-learn, in order to enhance the In Cabin automotive experience for greater safety and convenience.
- Optimize ML Model for production-ready automotive embedded hardware, using techniques such as pruning, distillation, quantization, etc.
- Stay up to date with the latest developments in machine learning and AI technologies.
- Document processes, experiments, and model decisions to ensure reproducibility and compliance.
- Work in an agile project team and close to customer and business stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 2+ years of experience in computer vision and machine learning, or related field.
- Proficiency in Python and ML libraries such as PyTorch or Scikit-learn.
- Experience with data manipulation tools (Pandas, NumPy).
- Strong understanding of the mathematical principles of machine learning and the hands-on experience with modern computer vision deep learning architectures.
- Solid comprehension of data structures, tensor manipulation and general software engineering best practices.
- Familiarity with cloud platforms (AWS, Azure), Docker and MLOps tools is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Past experience in production-level automotive environments.
- Familiarity with A-SPICE or other automotive safety regulations.
- Exposure to CI/CD pipelines for ML applications.
To be able to thrive and enjoy your time in this role within Tobii we believe you are a smart thinker with an analytical mindset. It's important to adapt to change, especially in environments where software changes frequently and where adaptation is crucial. Maintaining a positive attitude is also key; even if you fail 10 times, staying positive is vital. We also look forward to seeing you thrive as a mentor, sharing your technical expertise with the team.
Apply already today!
We are curious about you, so let us know about your background, experiences, and where you’re heading. Please submit your resume or LinkedIn profile through our website. And don’t wait, at Tobii we move quickly!
Welcome to Tobii!
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