Join Applied Intuition: Applied Machine Learning Technical Lead Position

About Applied Intuition

Applied Intuition is a leading Tier 1 vehicle software supplier dedicated to accelerating the adoption of safe and intelligent machines across the globe. Established in 2017, we provide an unrivaled ADAS/AD toolchain and an advanced vehicle platform, enabling our customers to speed up time to market, develop industry-leading products, and craft next-generation consumer experiences. Trusted by 18 of the top 20 global automakers, Applied Intuition's solutions are at the forefront of production for modern vehicles. Serving a range of industries including automotive, trucking, construction, mining, agriculture, and defense, we are headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Munich, Stockholm, Seoul, and Tokyo. Learn more at

Note: We operate as an in-office company, requiring you to work from an Applied Intuition office 5 days a week.

About the Role

We are seeking a highly skilled Technical Lead to join our applied machine learning team. In this role, you will implement and productionize cutting-edge research across our core product pillars. Your contributions will direct one of the teams ensuring Applied Intuition remains the most advanced vehicle software supplier to major OEMs. You will collaborate with a team of exceptional software and machine learning engineers, revolutionizing user interaction with vehicles. Our culture at Applied Intuition encourages engineers to take ownership of technical and product decisions, closely interact with users for feedback, and foster a dynamic, thoughtful team environment.

As a Technical Lead at Applied Intuition, you will:

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

We're Looking For Someone Who Has:

• A Bachelor's degree in computer science, physics, robotics, or related fields from a top institution.
• 4+ years of experience with modern ML techniques, including but not limited to transformer-based models, reconstruction algorithms, diffusion, and multi-modal models.
• Proficiency in programming languages such as Python or C++.

Nice to Have:

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

Compensation

The salary range for this position is $204,000 - $343,000 USD annually. This range is an estimate, with the actual salary subject to the Company's compensation practices.

Note on Application

Don’t meet every single requirement? If you’re passionate about this role but your experience doesn’t perfectly align with every qualification in the job description, we encourage you to apply anyway. You might be the right candidate for this or other roles.

COVID-19 Vaccination Policy

Applicants are required to be fully vaccinated against COVID-19 upon starting employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions, in line with applicable federal and state laws. For roles involving close contact with employees or third parties, accommodations for remaining unvaccinated may not be deemed reasonable. The Company will engage in the interactive process to consider each case individually.

Equal Opportunity Employer

Applied Intuition is an equal opportunity employer and a federal contractor or subcontractor. We adhere to the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a), 41 CFR 60-741.5(a), and Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A). These regulations prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability and require affirmative action to ensure employment