Staff Machine Learning Engineer

Do you want to shape the future of in-cabin automotive experiences through cutting-edge AI and technical leadership? Then Tobii could be your next step in your career We are currently seeking a Staff Machine Learning Engineer to join our team and help lead the development of intelligent, human-centric automotive technologies,
located in Brasov
(Hybrid role)
.

But first, did y
ou 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 Staff Machine Learning Engineer
As a Staff ML Engineer, you will play a pivotal role in shaping the technical direction of our machine learning initiatives. You'll lead the design and deployment of advanced computer vision models for embedded automotive systems, mentor engineers, and collaborate cross-functionally to drive innovation from concept to production.

Her
e's what your normal day looks like:

• Lead the design and development of scalable, production-grade ML models for in-cabin sensing applications.
• Drive technical strategy and architecture for ML systems, ensuring alignment with product goals and automotive standards.
• Mentor and guide a team of ML engineers, fostering a culture of technical excellence and continuous learning.
• Collaborate with product managers, software engineers, and data teams to define features, data pipelines, and deployment strategies.
• Optimize models for embedded automotive hardware using techniques like quantization, pruning, and distillation.
• Stay ahead of the curve by evaluating and integrating the latest ML research and tools.
• Contribute to internal best practices, code reviews, and documentation to ensure high-quality, maintainable code.

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

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.
• 7+ years of experience in machine learning, with a strong focus on computer vision and deep learning.
• Proven experience leading ML projects from research to deployment.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Deep understanding of modern CV architectures (CNNs, Transformers, etc.) and ML fundamentals.
• Experience with embedded systems and model optimization for edge devices.
• Familiarity with MLOps tools, CI/CD pipelines, and cloud platforms (AWS, Azure).
• Strong communication skills and a collaborative mindset.

It's
a plus if you have:

• Experience in the automotive industry or with in-cabin sensing technologies.
• Knowledge of automotive standards like A-SPICE or ISO 26262.
• Contributions to open-source ML projects or published research.

Sounds like you?
To be able to thrive and enjoy your time in this role within Tobii we believe you are a strategic thinker and hands-on leader who thrives in a fast-paced, collaborative environment. You're passionate about building impactful technology and enjoy mentoring others while staying close to the code. You're not just solving problems — you're shaping the future of human-machine interaction. 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.

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