Software Engineer (Prediction & Planning ML)

• We are looking for a software engineer with expertise in ML-first behavior prediction and planning
• You will develop ML-first behavior modules that can forecast the future motions 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
• 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
• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that predict the future motion of the ego agent 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 tightly with perception and planning engineers on many cross-team initiatives

Benefits

• Health Insurance: Applied covers 100% of the cost and offers medical, dental, vision, and life insurance
• Fitness Stipend: Our wellness program supports your health and fitness goals. We pay for your trainers, gym memberships, massages, and more!
• 401(k) Match: 50% employer matching to help you save money for retirement
• Learning Stipend: We invest in your learning and growth by reimbursing you for educational and training expenses
• Parental leave: 12-week, fully paid parental leave to bond with a newborn child or new adopted or foster child
• Catered lunch, expensed dinner, on-site meals and snacks- 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!
• 3+ years of experience building production software using modern software practices
• Experience with the end-to-end development cycle of deep learning models
• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
• Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
• Fluency in C++, or fluency in Python with intermediate experience in C++
• Experience with driver assistance or autonomous driving systems
• Experience in evaluating and improving system-in-the-loop model performance
• Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA
• 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