Level

Applied Intuition

Prediction and Planning - Technical Lead

Applied Intuition is hiring a Prediction and Planning - Technical Lead in Sunnyvale, United States. It pays $200k-$300k a year and Level rates it ; you can apply on Applied Intuition.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • Tools and skills the posting cites include Python, C and PyTorch.
  • Level classifies it as a lead role.
  • Level lists 327 other open roles at Applied Intuition.

AI in this role

Technical Lead for ML-first behavior prediction and planning in autonomous systems.

pythoncpytorch
machine-learningautonomous-vehiclesbehavior-predictiontechnical-leadership

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.

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

We are looking for a Technical Lead to provide technical leadership, end-to-end system ownership, and architectural direction for our ML-first behavior prediction and planning team. In this role, you will lead the development of ML-first behavior modules that predict future trajectories and interactions of road users, guide key architectural decision-making, and mentor a team of talented engineers. You will work closely with perception leadership on training data generation and with planning leadership on ML-based planner development, while collaborating with research teams on state-of-the-art architectures. Your leadership will drive tangible impact across diverse domains, including passenger vehicles, trucking, and mining.

In addition to your technical and architectural contributions, you will foster engineering excellence, mentor team members, and shape best practices in a dynamic and customer-focused environment. We move fast and focus on excellence for our products and business. If you are a hands-on leader eager to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!

At Applied Intuition, you will:

  • Lead the technical roadmap, system architecture, and execution for ML algorithms that generate driving trajectories for autonomous vehicles and other road users

  • Drive architecture reviews and leverage established products at Applied Intuition to build scalable software and infrastructure foundations for behavior ML development

  • Mentor and guide engineers while collaborating with cross-functional leadership, perception, planning, and research teams on state-of-the-art models and techniques

We’re looking for someone who has:

  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field

  • Proven track record of technical leadership, including leading complex projects, mentoring engineers, and influencing architectural direction

  • Proven track record of shipping production ML software in complex, real-world environments

  • Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization.

  • Experience with the end-to-end development cycle of deep learning models

  • 3+ years of experience building production software using modern software practices

  • Fluency in Python with intermediate experience in C++

Nice to have:

  • Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.

  • Experience with driver assistance or autonomous driving systems

  • Experience in evaluating and improving system-in-the-loop model performance

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!

How we rate this

Prediction and Planning - Technical Lead at Applied Intuition rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningAutonomous VehiclesBehavior PredictionTechnical LeadershipPythonCPyTorch

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where autonomous vehicles was part of your work. What did you do?
  3. Tell me about a project where behavior prediction was part of your work. What did you do?
  4. Tell me about a project where technical leadership was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, Autonomous Vehicles, Behavior Prediction, Technical Leadership, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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