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 cooperative 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 PyTorch
Robust skills in collaborating with technical teams

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

📌 Senior Applied Scientist At Wayve Ontario
🏢 Energy Jobline ZR
📍 Ontario