Principal ML Engineer (E2E Autonomy)

Join John Deere as a Principal ML Engineer, where you will shape the design of our end-to-end training and inference pipeline, develop new models and features, and drive the full data and modeling life cycle. You will collaborate with various teams, contribute to the design and validation of perception systems for safety, and provide technical leadership and mentorship. This role requires strong Python coding skills, proficiency with deep learning frameworks, and a proven track record in developing ML models.

• Concevoir et mettre en œuvre des politiques de bout en bout pour des tâches de navigation et de manipulation complexes.
• Diriger le cycle de vie complet des données et de la modélisation, de la collecte des données à la formation des modèles.
• Collaborer avec des ingénieurs en infrastructure sur des pipelines de données évolutifs, y compris l'ingestion, la conservation et le traitement des artefacts d'entraînement.
• Strong Python coding skills and proficiency with deep learning frameworks like PyTorch
• Comfortable working on new hardware systems and working on new ML/software problems
• Excellent brainstorming, creative thinking, mathematical analysis, and communication skills
• Comfortable working across traditional team boundaries to deliver results
• Proven track record in developing ML models. Prefer experience deploying to production for end-to-end robotics and boosting key metrics
• Track record of regularly anticipating technical issues and making architectural and design decisions to avoid them
• Expertise in designing and developing software for complex systems
• Experience with robotics middleware such as ROS or other robotics-focused software packages
• Strong CUDA background or other GPU frameworks
• Experience in multidisciplinary environments. (We’ve got CS, CV/ML, EE, ME, etc.)
• Have worked on embedded systems
• Experience with system architecture
• If you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway
• 5+ years of experience delivering high-performance ML products in a professional setting, with a preference for end-to-end robotics or autonomy applications