Research Scientist

4 weeks ago


Mountain View, California, United States Applied Intuition Full time
About Applied Intuition
Applied Intuition is a leading provider of autonomous vehicle software solutions. Our team is dedicated to accelerating the adoption of safe and intelligent machines worldwide. We deliver AI-powered ADAS/AD toolchains, vehicle platforms, and autonomy stacks to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. Our solutions are trusted by 18 of the top 20 global automakers, serving the automotive, trucking, construction, mining, agriculture, and defense industries.

About the Role
The AI Research Team at Applied Intuition conducts cutting-edge research for autonomous systems and closed-loop simulation. We create scalable autonomy stacks from prototype to mass production in a data-driven fashion. You will have access to driving data from millions of miles with various scenarios from a diverse set of sensors to develop industry-leading models and techniques at scale. Improvements deployed to our system can immediately help our customers with their autonomy programs.

Responsibilities
Conduct research in a focused area among topics including differentiable/end-to-end autonomy stack with language modality, multi-modal foundation models, closed-loop simulation for sensory and behavior generation with generative AI and novel view synthesis, and closed-loop training/refinement of differentiable stack. Work closely with the research scientists and other intern students in the AI Research team towards high-quality research publications on various topics.

Requirements
We're looking for someone with strong research skills who can work both independently and collaboratively with peers. Current MSc or PhD students in machine learning and computer vision with autonomy and robotics applications or closely related fields are preferred. Passion for next-generation, scalable autonomy with data-driven, differentiable paradigm and large data/model deployment for real-world autonomous systems is a must. Nice to have: strong research record in AI and autonomous systems with publications in top-notch venues or journals in computer vision, machine learning, robotics, etc. Hands-on experience in at least one of the following fields with real-world driving data: end-to-end/differentiable autonomy stack, multi-view perception based on Transformer with BEV representation and temporal fusion, imitation/reinforcement learning, behavior prediction, traffic simulation and behavior generation, sensory generation with 3D reconstruction and diffusion, multi-modal foundation model and language incorporation in driving tasks. Passion for or experiences with large language models, multi-modal foundation model, and applications of language modality in driving is a plus.

What You'll Gain
At Applied Intuition, you will have a unique perspective on the development of cutting-edge technology while working with major players across the industry and the globe. You will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you.

Compensation
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include 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, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. For pay transparency purposes, the base salary range for this full-time position is: $60.00-$75.00 USD hourly
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