About Applied Intuition
Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the definitive ADAS/AD toolchain and a world-class vehicle platform to help customers shorten time to market, build industry-leading products, 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 Ann Arbor and Detroit, MI, Washington, D.C., Munich, Stockholm, Seoul, and Tokyo. Learn more at https://appliedintuition.com.
Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week.
About the role
We are looking for a Head of AI Research who will lead our team in the research and development of cutting-edge machine learning technologies for automotive applications across our core product pillars. You will build and lead an organization of world class machine learning researchers and engineers who will be researching and developing new capabilities that will accelerate the widespread adoption of safe and intelligent machines. This position is ideal for a leader with a strong background in AI and machine learning, a commitment to quality, and a desire to make a real impact by advancing the state of the art of autonomous systems development and validation.
At Applied Intuition, you will:
- Build, manage and mentor a team of world-class applied researchers
- Drive the vision of AI within the company, working with cross-functional teams to define new research initiatives, bring research to production, and identify key technologies to develop
- Work closely with customers to define requirements for AI capabilities
We’re looking for someone who has:
- PhD in computer science, physics, robotics, or equivalent
- 4+ years working in the machine learning space
- Experience leading machine-learning research teams
- Published research and/or talks at top conferences such as CVPR, ICLR, ICRA, and NeurIPS
- Experience working on research in autonomous driving
The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices.
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.
Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company’s premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.
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.
