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Head of AI

Applied IntuitionMountain View, California, United StatesOnsite

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 provides a simulation and validation platform for various industries such as automotive, trucking, construction, and more. 18 of the top 20 global automakers rely on Applied Intuition’s solutions to shorten development cycles, deliver high-quality systems, and accelerate the production of modern vehicles with confidence. Applied Intuition is headquartered in Mountain View, CA, with offices in Ann Arbor, MI, Washington, DC, Munich, Stockholm, Seoul, and Tokyo.

Learn more at https://applied.co.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.

Life at Applied Intuition

As the foremost enabler of autonomous vehicle development, Applied Intuition equips engineering and product teams with software that makes it faster, safer, and easier to bring autonomy to market.\n\nApplied’s suite of products, focused on simulation and analytics, delivers sophisticated infrastructure built for scale. Companies of all sizes use Applied to comprehensively test and rapidly accelerate their autonomous vehicle development.\n\nHeadquartered in Silicon Valley with offices in Detroit, Tokyo, and Munich, Applied is composed of software and automotive experts from the top companies in the world (such as Google, Amazon, Apple, Waymo, Tesla, Delphi, GM, and Bosch).\n\nLearn about autonomous vehicle testing & development and stay updated with Applied. Sign up: https://www.appliedintuition.com/#newsletter
Thrive Here & What We Value- **Rapid Growth**: With an expanding portfolio and strategic partnerships with leading automotive OEMs in Japan, our growth trajectory is unmatched.- **Technical Excellence**: Our engineers are encouraged to take ownership of technical decisions, fostering a culture where innovation thrives.- **Global Presence**: With offices spanning continents, we offer localized support and insights that resonate with our diverse customer base.- **Customer Focus**: We collaborate closely with users to gather feedback, ensuring our solutions are not only advanced but also practical and effective in real-world scenarios.- **Industry Leader Status**: Our reputation is built on trust, as evidenced by the reliance of 18 top global automakers on our technology for their vehicle development processes.
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