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Technology

Senior/Principal Machine Learning Engineer

Talentry, LLC

HimalayasRemote
Location
United States, United States
Type
Remote
Salary
Salary not specified
Posted
16 Oct 2026
This is a remote position. Senior/Principal Machine Learning Engineer200-300k Remote position possible *** This is NOT Financial, Recommendation Engines, Healthcare, etc.
This is a remote position. Senior/Principal Machine Learning Engineer 200-300k Remote position possible *** This is NOT Financial, Recommendation Engines, Healthcare, etc. This IS Autonomous Driving. Previous experience a must.*** Description 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. Requirements Qualifications 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. Benefits Benefits 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