AI Research Scientist

• Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.
• Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.
• Collaborate with cross-functional teams, including perception, robotics, and systems engineering.
• Participate in technical discussions, share insights, and work towards publishing results.

AI Researcher – Summer Internship

• Build and maintain large-scale end-to-end data pipelines for platform and research needs
• Design data models optimized for analytics and ML training and inference
• Own the full data lifecycle with strong monitoring, validation, and reliability
• Optimize queries, storage, partitioning, and indexing for performance and cost
• Manage and scale BigQuery workloads and orchestrate pipelines with Airflow

Applied AI Researcher

• Conduct comprehensive hands-on research on AI & Cloud technologies, trends and best practices with a focus on cost optimization
• Collaborate with product development teams to integrate research findings and PoCs into new platform features and enhancements
• Bring domain expertise into pre-sales and post-sales processes, directly and tightly working with prospects to maximize value
• Publish thought-leadership technical content, in various forms: blog/white papers/OSS/Webinars/Live sessions.

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AI Researcher – Summer Internship

Applied AI Researcher

Cloud & AI Researcher