Senior Applied Scientist at Wayve

Lead the design of advanced pretraining datasets at Wayve, a top developer of Embodied AI. This senior role directly impacts the future of automated driving systems.

As a Senior Applied Scientist, you will be instrumental in shaping data for foundational models in embodied AI.

Your role requires expertise in dataset design, multi-modal learning, and collaborative engineering. You will work closely with teams across London, Sunnyvale, and Vancouver to create impactful datasets and define key evaluation metrics.

Key Responsibilities:

• Lead design and curation of pretraining datasets

• Optimize training effectiveness through data-centric experiments

• Collaborate on data architecture with cross-functional teams

• Define metrics to assess dataset quality comprehensively

• Contribute tools and processes to enhance dataset impact

Requirements:

• 3–5 years post-PhD experience or equivalent

• Proven track record in applied research and publications

• Hands-on dataset curation for machine learning

• Proficient with machine learning frameworks like Py Torch

• Strong skills in collaborating with technical teams

Shape the future of AI by leveraging your expertise in dataset design at Wayve.
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