Machine Learning Engineer - Behavior and Planning

About the Company

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.

We are an in-office company, and our expectation is that 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.

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!

Responsibilities

• 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 infrastructure 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

Requirements

• 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

Benefits

• Comprehensive health, dental, vision, life, and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

Pay

The base salary range for this full-time position is $150,000 - $260,000 USD annually. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. The actual base salary offered to a successful candidate will 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.