Do you want to join a pioneering company in the traditional automotive industry, dedicated to creating a safer, more intuitive, and comfortable in-cabin experience for everyone in the car? Then Tobii could be your next step in your career! We are currently seeking a highly skilled and motivated Machine Learning Engineers to join our team at Tobii located in Bucharest or Brasov.
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.

To succeed in this role, we would love you to have:

• 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.

• 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