Job Title: Principal AI Engineer

Company Name: Vay

Job Url: https://boards.greenhouse.io/embed/job_app?token=4723680101&utm_source=jobright&jr_id=69702b4c333b6343a14c9373

Job Description: Why this role is exciting 
As a Principal AI Engineer, you will work on cutting edge Physical AI and tackle one of the hardest real-world problems - creating intelligent systems that navigate complex, unpredictable environments safely and reliably.

You will get to work on and scale models with massive datasets, and push innovations in multimodal AI that directly translate to safer roads, reduced accidents, and transformative mobility for everyone.

The profound real-world impact, combined with rapid advancements and the thrill of solving "the ultimate challenge for AI in the physical world," makes this role incredibly rewarding and exciting.

What you’ll be driving
You will be building Vay’s foundation model (end-to-end) for autonomous driving with the target to deploy it in our commercial fleet in Vegas with hundreds of vehicles in order to improve autonomy performance and unit economics.

In order to do that, you will:

Research and develop state of the art foundation models for real-world autonomous driving.
Design and build end-to-end AI pipelines and data flywheels that continuously improve model performance
Apply machine learning to 3D traffic scene understanding and multimodal sensor data
Define and implement robust evaluation methods for real world driving conditions
Optimizing models for efficient and scalable deployment on production hardware
Collaborate closely with autonomy, data, and systems teams to bring models into production
This might be a great fit, if:
You are a Principal level engineer who enjoys owning complex AI systems end to end, from research through to production deployment, who wants to see their work operating in the real world.

You have considerable previous experience building and deploying end-to-end ML models in autonomous driving, robotics, or a closely related domain
You hold a MSc/PhD in Computer Science,  Computer Vision, Robotics or a closely related field
Hands-on experience in applying Machine Learning to 3D traffic scene understanding
Proficiency in Machine Learning frameworks like PyTorch or Tensorflow
Strong experience programming with Python (C++ is nice to have)
You enjoy bridging research quality work with production readiness and performance constraints
Why choose Vay 
💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary

🌴 Unlimited Paid Vacation Days

🎫 Subsidised Deutschland ticket (Berlin)

🏋️‍♂️ Subsidised Urban Sports Club or FitX Membership 

🚗 All Vay team members receive 30% off their Vay rides

🛍️ Exclusive external discounts

💼 €350 Home office budget 

✈️ Relocation financial assistance when relocating to Berlin 

📚 Fully funded German Lessons 

🎊 Regular team events throughout the year

For more information on Vay’s physical demands, working environments and safety requirements, you can review this link. We’ll also cover anything specific to this role during the first interview.

We’d love to stay connected for future opportunities, so feel free to include your LinkedIn profile when you apply.

We welcome applications from all backgrounds and experiences. If you’re excited about shaping something truly groundbreaking, we’d be happy to hear from you.