Senior Machine Learning Engineer, Cosmos Engineering

Responsibilities

• Build and deliver innovative Metropolis AI solutions powered by Cosmos world foundation models, addressing real-world requirements in intelligent video analytics, perception, and physical AI.
• Find areas where Cosmos models underperform or lack capability and recommend new solutions. These involve generating synthetic data, refining tuning methods, and improving architecture. Metropolis use cases serve as the main reference.
• Partner with the Cosmos team to identify and prioritize new platform features guided by the Metropolis product roadmap, contributing to deliverables that support the wider ecosystem.
• Lead the open-sourcing of solutions and research artifacts developed by the team, contributing to the broader AI and research community.
• Stay current with the latest advances in foundation models, generative architectures, and training methodologies, and actively bring relevant insights back to the team.
• Partner multi-functionally with Product, Program, Engineering, and Data Procurement teams to drive alignment and unblock execution.
• What we need to see
• MSc or PhD in Computer Science, Electrical Engineering, or a related field — or equivalent experience.
• 8+ years of proven experience in applied machine learning or AI research.
• Deep expertise in deep learning fundamentals, with hands-on experience in diffusion models and generative architectures.

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