Principal AI Engineer, Autonomy

Vay; Berlin; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A pioneering transportation company in Berlin is seeking a Principal AI Engineer to lead the development of groundbreaking AI systems for autonomous driving. You will tackle complex challenges, build scalable solutions, and leverage massive datasets to enhance road safety and efficiency. The role demands strong expertise in machine learning, a relevant master’s or doctorate, and hands-on experience with real-world applications. Join a diverse team and contribute to transformative mobility solutions.

Leistungen

ESOP stock options

Subsidised Urban Sports Club or FitX Membership

30% off Vay rides

Relocation financial assistance

Fully funded German lessons

Regular team events

Qualifikationen

• Experience building and deploying end-to-end ML models in autonomous driving.
• Hands-on experience with machine learning techniques for complex environments.
• Enjoy research through to production deployment.

Aufgaben

• Research and develop foundation models for autonomous driving.
• Design end-to-end AI pipelines for model performance improvement.
• Collaborate with teams to bring models into production.
• Optimize models for scalable deployment.

Kenntnisse

Machine Learning

3D Traffic Scene Understanding

Python Programming

Robotics

Deep Learning Frameworks (PyTorch/TensorFlow)

Ausbildung

MSc/PhD in Computer Science, Computer Vision, or Robotics

Jobbeschreibung

Ever imagined saying, “I helped launch the future of transportation”?

We’re rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives— with no one inside— powered by our world‑first Remote Driving technology on real public streets.

We’re live in Las Vegas and scaling fast, powered by a strategic investment of up to $410 million from Grab. Our mission is simple: replace private car ownership with a faster, cleaner, door‑to‑door mobility model. If you want to build something real, visible, and genuinely transformative, you’ll feel right at home here.

What’s happening at Vay:

• First to roll out vehicles in both Europe and the USA on public roads without a human being inside & one of only two companies in the States operating a commercial driverless service.
• We've partnered with Kodiak to bring remote‑driving technology to autonomous trucks in the Bay Area, showcasing our ability to integrate our system into heavy‑duty commercial vehicles and expand the applications of our tech across the US.
• We’ve completed 10’s of thousands of trips so far and are busy multiplying our Las Vegas fleet just to meet demand!
• ...And soon we’ll be expanding across the US & Europe 🚀

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.
• Optimise 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, and 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.

🏋️♂️ Subsidised Urban Sports Club or FitX Membership.

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

✈️ 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 🚗💨

DEI @ Vay

We are aware that diversity has many different dimensions but to start, we will be tracking gender and ethnicity, as it is measurable and concrete. To that end, we have started to ask all Vay applicants to anonymously share diversity information. To remove our own bias, this data is held completely separate from the application and will be held in the highest confidence.

At Vay, we consider our work on diversity, equity, and inclusion to be an ongoing effort, and we welcome suggestions and comments. If you are happy to help us with our targets we would really appreciate you self‑identifying below.

To which gender identity do you most identify? Select…

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Vay has my consent to collect, store, and process my data for the purpose of considering me for employment, and for up to 180 days thereafter. *