Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co applied.co. We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions ABOUT THE ROLE As an Engineering Manager on the Autonomy Data team, you'll lead a world-class group of engineers focused on revolutionizing how we produce, curate, and leverage high-quality data to accelerate autonomy development. Your team will work across three key areas: Data Quality, where we build systems to measure, validate, and improve the integrity of our datasets; Labeling Workflows, where we design intelligent annotation pipelines that combine human expertise with AI-powered automation; and Data Mining, where we surface rare, high-value driving scenarios from massive multi-modal fleet data. You'll drive the adoption of foundation models and cutting-edge AI techniques to scale these capabilities, setting technical direction and team goals that align with our model development, safety, and deployment milestones. AT APPLIED INTUITION, YOU WILL: - Grow and manage a team of world-class engineers with the goal of delivering high-quality, well-labeled data and identifying critical edge cases for autonomy - Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure - Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery - Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles - Set team goals and roadmap in alignment with training, evaluation, and deployment requirements - Partner with research, autonomy, and data infrastructure teams to ensure high-quality, relevant, and diverse data is powering our models - Drive hiring, mentoring, and growth for a high-performing, mission-driven team WE’RE LOOKING FOR SOMEONE WHO HAS: - 3+ years of engineering management experience - Passion for building and leading high-performing teams - Experience building data quality systems, labeling pipelines, or annotation platforms at scale - Familiarity with modern ML infrastructure and data-centric AI approaches - Understanding of how foundation models can be applied to automate data workflows - Solid track record of building and deploying products - A Bachelor's degree in Computer Science, Software Engineering, or equivalent NICE TO HAVE: - Direct experience with foundation models, including LLMs and VLMs, for data automation tasks - Background in autonomous driving or robotics perception - Experience with active learning, auto-labeling, or human-in-the-loop ML systems - Familiarity with 3D perception data (camera, lidar, radar) 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. 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. 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. FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!

Requirements

Must-haves

Grow and manage a team of world-class engineers with the goal of delivering high-quality, well-labeled data and identifying critical edge cases for autonomy
Prioritize development across data quality systems, intelligent labeling workflows, and large-scale data mining infrastructure
Lead the integration of foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
Set team goals and roadmap in alignment with training, evaluation, and deployment requirements
Partner with research, autonomy, and data infrastructure teams to ensure high-quality, relevant, and diverse data is powering our models
Drive hiring, mentoring, and growth for a high-performing, mission-driven team
3+ years of engineering management experience
Passion for building and leading high-performing teams
Experience building data quality systems, labeling pipelines, or annotation platforms at scale
Familiarity with modern ML infrastructure and data-centric AI approaches
Understanding of how foundation models can be applied to automate data workflows
Solid track record of building and deploying products
A Bachelor's degree in Computer Science, Software Engineering, or equivalent

Nice-to-haves

Direct experience with foundation models, including LLMs and VLMs, for data automation tasks
Background in autonomous driving or robotics perception
Experience with active learning, auto-labeling, or human-in-the-loop ML systems
Familiarity with 3D perception data (camera, lidar, radar)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Wellness