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Senior/Principal Machine Learning Engineer

Talentry, LLC · Удалённо · United States

# Senior/Principal Machine Learning Engineer **Talentry, LLC** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Engineer]` `[Principal-Machine-Learning-Engineer]` `[Senior-ML-Engineer]` `[Computer-Vision-Engineer]` `[Senior-Staff-Machine-Learning-Engineer]` `[Senior-AI-ML-Engineer]` `[Senior-ML-Engineering]` `[Sr.-Staff-Machine-Learning-Engineer]` `[Principal-ML-Engineer]` `[Principal-AI-ML-Engineer]` `[Lead-Machine-Learning-Engineer]` `[Senior-Machine-Learning-Architect]` --- ### About the Role 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

Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).

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