…Large Language Models, Natural Language Processing, Computer Vision, Speech/Audio Processing, Multimodal AI, Reinforcement Learning, or AI Systems/Infrastructure. Publication track record at top…

…high-fidelity simulations where AI learns to perform real-world tasks through reinforcement learning. We work with the leading AI labs to help them…

…high-fidelity simulations where AI learns to perform real-world tasks through reinforcement learning. We work with the leading AI labs to help them…

…collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling…

…AWS technologies (EMR/Spark, Sagemaker, DynamoDB, S3, ClaudeCode), various AI/ML algorithms and techniques (Deep Learning, GenAI/LLMs, transformers, supervised/unsupervised/semi-supervised/reinforcement…

…directly on the retail website. - Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods; - Work closely with…

…collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling…

…In this role you will bring strong, general machine learning expertise to some of the hardest problems in autonomy and drive them from research…

…Deepen your experience in the evolving Artificial Intelligence (AI) and Machine Learning (ML) landscape. Drive meaningful impact for thousands of Microsoft sales, marketing and…

…Experience with computer vision learning techniques, machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning), generative AI, or applied AI applications Preferred…

…and real deadlines, while learning from and working alongside the researchers and engineerings creating Canva’s next generation of AI-powered experiences. What you…

…Knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and Generative AI.

…learning - Experience with methods for whole-body control such as hierarchical quadratic programming and model-predictive control - Experience with imitation learning and reinforcement learning…

…Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors…

…the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity…

…You'll have the opportunity to work across traditional machine learning, deep learning, reinforcement learning, optimization, and multimodal AI while solving some of the…

…between quality, latency, and spend. - Explore where AI capability goes next, from fine-tuning and reinforcement learning to distillation and emerging foundation models, and…

…streamline clinical operations, and reinforce safe, high-quality care delivery. Driving product discovery through partnership with stakeholders, user research with customers, and data and…

…Industry experience in machine learning, robotics, embodied AI or related applied research environments. Experience with real robots, robotic learning, embodied AI, simulation or policy…

…robotic learning, embodied AI, simulation or policy learning. Experience working with large-scale video data and sequential decision-making systems. Experience mentoring researchers or…

…collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling…

…years of applied research experience - 3+ years of industry or academic research experience - Strong publication record at major Robotics/ML/AI conferences (e.g…

…forefront of innovation, where cutting-edge research meets real-world application: - Push the boundaries of reinforcement learning and post-training methodologies for large language…

…Prior experience with Reinforcement Learning algorithms and compute patterns Expertise in distributed computing, model parallelism, and mixed precision training Prior experience with Generative AI…

…of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our Reinforcement Learning teams are…