Machine Learning Engineer - Behavior and Planning

About the role

We are looking for a Machine Learning Engineer with expertise in ML-first behavior prediction and planning. You will develop ML-first behavior modules that can predict the future trajectories and behaviors of road users and predict their interactions. You will work closely with the perception team on areas such as training data generation, and with the planning team on ML-based planner development. You will also have the opportunity to collaborate with our research teams on state-of-the-art architectures and techniques. Your work will have a tangible impact, deployed across diverse domains including passenger vehicles, trucking, and mining.

In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!

At Applied Intuition, you will:

• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that generate driving trajectories for autonomous vehicles and other road users in the scene

• Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development

• Collaborate with perception and planning engineers as well as research teams on cross-team 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

• 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

• 2+ 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

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: $150,000 - $260,000 USD annually.