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.

We are looking for a technical lead for our applied machine learning team to implement and productionize cutting-edge research across our core product pillars. You will help set the technical direction for one of the teams positioning Applied Intuition as the most advanced vehicle software supplier to the largest OEMs in the world.  You will work with a team of world-class software and machine learning engineers who are developing capabilities that will revolutionize the way that people interact with vehicles. At Applied Intuition, we encourage engineers to take ownership of technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.

• Set the technical direction for integrating the latest advancements in machine learning into our products
• Mentor engineers on the team and throughout the entire company on building strong ML foundations
• Work closely with customers to identify additional areas across the product suite where generative AI can provide significant value

• A Bachelor's degree in computer science, physics, robotics, or related fields from a top institution
• 4+ years experience working with modern ML techniques including but not limited to transformer-based models, reconstruction algorithms, diffusion and multi-modal models
• Programming experience in one of the following: Python or C++

• Experience working directly with end users
• Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV/ECCV, IROS, ICRA
• Experience building software for technical end users
• A Master’s degree or PhD in computer science, physics, robotics, or related fields

The salary range for this position is $204,000 - $343,000 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.