Prediction and Planning

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!

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

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++

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!