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 (Riviere-des-Prairies—Pointe-aux-Trembles)
🏢 Energy Jobline ZR
📍 Riviere-des-Prairies—Pointe-aux-Trembles