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Machine Learning Engineer, ADAS

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Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. 

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions

We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

</p> <p>At Wayve, your contributions matter.

  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

  </p> <p>Make Wayve the experience that defines your career!  </p></div><p><strong><iframe src=" width="560" height="314"></iframe><br><br><br>🛠️ About our Engineering Teams</strong></p> <p>Wayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving.

We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps.

The team mixes “online” (on-car, latency/compute constrained) and “offline” (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping.

</p> <p><strong>🧠 Your day-to-day</strong></p> <p>You’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals.

You’ll work across the full ML lifecycle (data →.

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