Job description
About Applied Intuition
Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.(Note: this is not applicable for EpiSci roles).
About the role
We are looking for a passionate New Grad Research Scientist to help build the AI Research Team at Applied Intuition. This team conducts world-class research for autonomous systems and closed-loop simulation to influence our autonomy stacks from prototype to mass production. You will have access to millions of miles of large-scale driving data and a diverse set of sensors to develop industry-leading models at scale.
In addition to your research, you will contribute to and learn from best practices in the autonomy industry within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their autonomy programs and deliver value to our business.
At Applied Intuition, you will:
- Conduct research on topics including: end-to-end autonomy, multi-modal foundation models, closed-loop simulation for sensory and behavior generation with generative AI, and novel view synthesis
- Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
- Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy products
We’re looking for someone who has:
- Strong research record in the fields of AI and autonomous systems with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
- Passion for next-generation, scalable autonomy for real-world autonomous systems
- Strong research skills and the ability to work both independently and collaboratively on projects
Nice to have:
Hands-on experience in at least one of the following fields:
- End-to-end/differentiable autonomy stack
- Multi-view perception
- Reinforcement learning
- Traffic simulation and behavior generation
- 3D reconstruction
- Multi-modal foundation models
Autonomy is one of the leading technological advances of this century that will come to impact our lives. The work you’ll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting edge technology while working with major players across the industry and the globe.
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: $170,000 - $240,000 USD annually.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
