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 platform, 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 Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at 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 an Engineering Manager with strong foundations and experience in generative AI techniques who is looking to implement and productionize cutting-edge machine learning research across our core product pillars. You will help position 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.

At Applied Intuition, you will:

Build, manage and mentor a team of world-class machine learning and software engineers
Drive the vision of AI within the company, working with cross-functional teams to define new product areas, working closely with our research team to bring new ideas to production
Leverage the latest advancements in machine learning and work closely with customers to develop new AI-native products for autonomy development, vehicle interaction, and stack autonomy

We’re looking for someone who has:

A Bachelor’s degree in computer science, robotics, or related fields from a top institution
5+ years working in the machine learning field
2+ years of people management experience
Experience with one of the following technologies: large multimodal models, diffusion, or 3D reconstruction
Programming experience in Python

Nice to have:

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, machine learning, robotics, or related fields

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: $239,000 - $353,600 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.

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.

Head of Applied Machine Learning

Applied Intuition

Compensation Overview

About Applied Intuition

About the role

At Applied Intuition, you will:

We’re looking for someone who has:

Nice to have:

6 month growth

1 year growth

2 year growth

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