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
• Strong skills in collaborating with technical teams
Shape the future of AI by leveraging your expertise in dataset design at Wayve.
#J-18808-Ljbffr

📌 Senior Applied Scientist at Wayve (Calgary)
🏢 Energy Jobline ZR
📍 Calgary