Senior/Principal Machine Learning Engineer

• Develop solutions for autonomous driving, from experimentation to full commercialization.
• Explore new ideas using deep learning, neural networks, and large foundation models.
• Work on object detection, tracking, prediction, planning, control, online mapping, and more.
• Manage the full life cycle of machine learning projects, including data analysis and model verification.
• Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

• Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
• In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
• Knowledge of generative models, model distillation, or model inference acceleration.
• Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
• Ability to work independently in a fast-paced environment and collaborate on complex projects.
• A track record of research publications in top conferences/journals is preferred.

• Work on cutting-edge autonomous navigation technology.
• Opportunity to contribute to world-first innovations.
• Vibrant and fast-paced work environment.
• Exposure to cross-team projects and collaboration.
• Chance to transform dreams into reality in the future of transportation.
• Excellent salary and benefits – chance to get in on the ground floor!

Originally posted on Himalayas