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Software Engineer (Prediction & Planning ML)
Applied Intuition · Sunnyvale, United States
About The Role
Join Applied Intuition as a Software Engineer specializing in Prediction & Planning ML. In this role, you will develop ML-first behavior modules to forecast the future motions of road users and predict their interactions. You will collaborate closely with the perception and planning teams, contribute to best practices in the autonomy industry, and have the opportunity to make a significant impact on the development of autonomous systems.
- Développer des modules de comportement basés sur l'apprentissage automatique pour prévoir les mouvements futurs des usagers de la route.
- Collaborer étroitement 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 prédisent le mouvement futur de l'agent égo et d'autres usagers de la route.
- 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!
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
- Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
- 3+ years of experience building production software using modern software practices
- Fluency in C++, or fluency in Python with intermediate experience in C++
- Experience with the end-to-end development cycle of deep learning models
- 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
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