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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Research Engineer - Reinforcement Learning”. A match may be a passing mention rather than the job itself. Titles only.
642 roles across 706 listings · show every listing · page 3 of 26
…engineering or research experience in control and real-time embedded systems - MSc or PhD in Computer Science or Robotics - Deep understanding of reinforcement learning…
…Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered…
…Research, design, and prototype machine learning models—including neural networks and reinforcement learning—for RF transmitter applications such as power control, calibration, and digital…
…Research, design, and prototype machine learning models—including neural networks and reinforcement learning—for RF transmitter applications such as power control, calibration, and digital…
…You will be part of our world-class teams partnering closely with research and engineering groups to understand what our technology can do today…
…the low-latency streaming serving path, and build the training and reinforcement-learning infrastructure that closes the loop. You will have the compute, data…
…Advanced knowledge in reinforcement learning, meta learning, or related advanced ML areas. Experience with search/ranking, recommender systems, or graph techniques. Background in financial…
…Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction. Ability to engineer robust systems…
…About the role As a Senior Principal Machine Learning Engineer, you will be responsible for designing, developing, and optimizing machine learning models—with a…
…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…
…Learn more at appliedintuition.com/research http://appliedintuition.com/research. Supported by industry-leading tools and infra, researchers can access millions of miles of…
…Mathematical and Statistical modeling, Machine and Reinforcement Learning, Optimization Methods, and Azure/Microsoft Data Science tools. Uses expertise to identify the right technique to…
…Mentor research scientists and engineers on the team, upleveling internal capabilities in post-training and agentic AI. PhD in Computer Science, Machine Learning, Natural…
…Cross-functional Leadership Coordinate distributed teams across design, research, engineering, and operations. Communicate complex technical concepts and program status directly to executive leadership. 7…
…We’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient. You’ll study real agent…
…of researchers and engineers responsible for building large scale frontier foundation models at Apple. We believe the most interesting breakthroughs in deep learning happen…
…Required qualifications, capabilities, and skills PhD in Computer Science, Engineering, or related fields with relevant research & work experience in AI/ML Research publications in…
…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…
…Your mission is to find exceptional domain experts (PhDs, researchers, academics, and senior industry practitioners) in fields like scientific computing, cybersecurity, finance, engineering, mathematics…
…models using deep learning frameworks - Data modeling - SQL - Modern Version control (GIT) - Deep Neural Networks, Generative Models, or Reinforcement Learning - Cloud infrastructure - Containerization - Orchestration…
…Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they…
…planning and deployment Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics…
…like supervised fine-tuning, distillation, preference optimization, reinforcement learning, or other post-training techniques. - Strong software engineering fundamentals, including data structures, algorithms, systems design…
…engineers, and security engineers working across physical and digital security domains. #### Inclusive Team Culture In Amazon Security, it's in our nature to learn…
…distributed computing, high-performance computing - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in…