Design and enhance sophisticated AI systems while developing and optimizing a multi-layered agentic AI system, contributing to the architecture of a groundbreaking AI solution.
Senior Applied Scientist - ADAS
📜 Description
- Define and drive the technical direction for physical AI algorithms.
- Architect multi-modal fusion approaches (camera, LiDAR, RADAR) to build 3D environments.
- Apply advanced ML techniques to improve perception performance.
- Lead structured experimentation and benchmarking to deliver measurable gains in accuracy and robustness.
- Provide technical guidance and mentorship to perception engineers.
🛠️ Requirements
- 7+ years of experience in machine learning, vision transformers, diffusion, or computer vision
- Deep expertise in modern deep learning architectures
- Strong hands-on experience with PyTorch (or equivalent frameworks)
- Proven experience building and iterating on large-scale ML models
- Strong mathematical foundations in optimization and probabilistic modeling
- Track record of delivering measurable improvements in ML system performance
- Experience guiding technical decisions within a small engineering tea
- Experience in autonomous systems or robotics perception
- Publications or patents in machine learning or perception
- Experience with 3D data representations (gaussian spatting, point clouds, BEV, voxel grids) and 3D engines like Unity
✨ Benefits
- A competitive compensation package, of course.
- Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local
- Improve your home office with a setup budget and get extra support with a monthly allowance.
- Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends
- Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
- Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
- Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities
- Find out more about our global benefits and enjoy additional local benefits tailored to your location.
- Design, implement, and improve ML/vision transformer models for 3D awareness and planning.
Full job description
We are building a high-performance ADAS Online team focused on advancing state-of-the-art machine learning and AI algorithms for scene understanding and environmental awareness. As ML Staff Engineer, you will drive the algorithmic direction of our present and future in-vehicle spatial awareness stack while remaining deeply hands-on in model design, experimentation, and performance improvement. You will contribute as a senior technical authority and mentor within a small, high-velocity team.
This spatial awareness stack will leverage modern transformer and end-to-end architectures to transform vehicle sensor data along with real-time 3D map data from the cloud into a 3D, semantically defined environment identifying all static and dynamic objects. This is a high-ownership technical role in a fast-moving, data-driven AI environment.
What You'll Do
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