Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale
201 - 500
Research Scientist
2 days ago
🏢 In-office - Bay Area
Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale
201 - 500
Description
• Conduct research in a focused area among topics including differentiable/end-to-end autonomy stack with language modality. • Work closely with other research scientists and intern students in the AI Research team towards high quality research publications. • Closely work with and supported by Research Engineers and engineering teams to test and deploy the algorithms created.
Requirements
• Strong research skills who can work both independently and collaboratively with peers. • Strong research record in the fields of AI and autonomous systems with publications in top-notch venues or journals in the fields of computer vision, machine learning, robotics, etc. • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related fields. • Passion for next-generation, scalable autonomy with data-driven, differentiable paradigm and large data/model deployment for real-world autonomous systems. • Hands-on experience in at least one of the following fields with real-world driving data: 1) end-to-end/differentiable autonomy stack, 2) multi-view perception based on Transformer with BEV representation and temporal fusion, 3) imitation/reinforcement learning, behavior prediction, 4) traffic simulation and behavior generation, 5) sensory generation with 3D reconstruction, novel view synthesis and generative AI, 6) multi-model foundation model, language incorporation in driving tasks. • Passion or experiences for large language models, multi-model foundation model, and applications of language modality in driving.
Benefits
• Base salary. • Equity in the form of options and/or restricted stock units. • Comprehensive health, dental, vision, life and disability insurance coverage. • 401k retirement benefits with employer match. • Learning and wellness stipends. • Paid time off.
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