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 PyTorch
- Robust skills in collaborating with technical teams

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

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