Machine Learning Engineer (Behavior and Planning)

Join Applied Intuition as a Machine Learning Engineer specializing in prediction and planning. In this role, you will develop ML-first behavior modules to predict the future trajectories and behaviors of road users. You will collaborate with the perception and planning teams, as well as research teams, to create state-of-the-art models and techniques. Your work will have a tangible impact across various domains, including passenger vehicles, trucking, and mining.

• Développer des modules de comportement basés sur l'apprentissage automatique pour prédire les trajectoires futures et les comportements des usagers de la route.
• Collaborer avec les équipes de perception et de planification pour générer des données d'entraînement et développer des planificateurs basés sur l'apprentissage automatique.
• Prototyper, évaluer, affiner et déployer des algorithmes d'apprentissage automatique de pointe qui génèrent des trajectoires de conduite pour les véhicules autonomes.
• Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization
• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
• Experience with the end-to-end development cycle of deep learning models
• Fluency in Python with intermediate experience in C++
• 2+ years of experience building production software using modern software practices
• Experience with driver assistance or autonomous driving systems
• Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA
• 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