Research Engineer

About the role

The AI Research Team at Applied Intuition conducts world-class research for autonomous systems and closed-loop simulation, and creates scalable autonomy stacks from prototype towards mass production in a data-driven fashion. You will have access to driving data exploding 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.

In addition to your research contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we 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!

At Applied Intuition, you will:

• Design and implement the next-generation, data-driven ADAS stack with an end-to-end structure covering conventional perception, mapping, prediction and planning modules towards industry-leading performance.
• Conduct research for the end-to-end stack on its architecture design, robustness and safety, language modality incorporation, close-loop simulation utilization, data pipeline and MLOps.
• Work closely with our ADAS stack engineering team to test and deploy the implemented end-to-end algorithms for mass production vehicles.
• Work closely with research scientists and intern students in the AI Research team towards high quality research publications.

We’re looking for someone who has:

• Deep hands-on experience with 1) end-to-end (perception to planning) autonomy stack or 2) multi-view perception based on Transformer with BEV representation and temporal fusion, based on real-world data with real vehicle tests.
• Deep understanding of the concepts and typical models in automatic/online HD map construction, imitation learning and behavior prediction.
• Passion for next-generation, scalable autonomy with data-driven, differentiable paradigm and large data/model deployment for real-world autonomous systems.

Nice to have:

• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field.
• Hands-on experience of imitation/reinforcement learning, behavior prediction, and closed-loop simulation.
• Experience with training with large-scale data and ML models.
• Passion or experiences for applications of language modality in driving.
• Experience building and shipping software frameworks or tools that are used by others than the authors of the framework.

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.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $242,000 USD annually.