…in Machine Learning, Computer Science or Physics. - Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation. - Hands…

…Demonstrated expertise in deep learning with a focus on LLMs, post-training, or reinforcement learning, backed by a strong record of academic or real…

…Science, Mechanical/EE/Automation Engineering Solid understanding of core ML/AI concepts, algorithms (e.g., supervised, unsupervised, reinforcement learning), and model evaluation techniques Good…

…machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications - Experience using AI models in real-world environments…

…machining, various finishing processes) - 5+ years of experience designing Printed Circuit Boards (PCBs), flexes and electrical interconnects - Master's degree in electrical engineering, computer…

…We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agent Architectures, Reinforcement Learning, Knowledge…

We are now looking for a Senior DFX Software Engineer - Machine Learning. Do you like to think creatively and enjoy solving challenges that require…

…tabular, graph) (c) Reinforcement Learning, continual learning (parametric/model-based), model post-training and test-time adaptation. Preferred qualifications, capabilities, and skills Practical experience…

…This in-office expectation does not apply to contractor positions About the role - Design, implement, and deploy software and machine learning components focused on…

…AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria…

…ABOUT THE ROLE We’re hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to…

…When we feel supported in the workplace and at home, there's nothing we can't achieve. - 3+ years of building machine learning models…

…Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration…

…algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - PhD in engineering, technology, computer science, machine learning…

…We support data science needs across AWS EC2, Database & Analytics, and S3 teams using deep learning, graph neural networks, forecasting, reinforcement learning, causal inference…

Are you passionate about shaping the future of Amazon's long-term success with Generative AI and Reinforcement Learning (RL)? We are looking for…

…This role offers a rare opportunity to work at the intersection of machine learning, high-performance computing, and distributed systems, where you will help…

…High-impact publications at top robotics and machine learning venues (e.g., CoRL, RSS, ICRA, NeurIPS). Robot learning expertise with reinforcement learning and/or…

…Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our…

…The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification…

…tabular, graph, time-series (e) Reinforcement Learning, continual learning for agents, model post-training and test-time adaptation. (f) Advanced multi-agent systems including…

…The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification…

…Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Collaborate with product, engineering, and business teams to…

…research engineering, such as large-scale data manipulation and simulator integration. Explore and develop novel post-training paradigms for LLMs using reinforcement learning Explore…

…Define and maintain clear research quality standards and engineering best practices and engineering standards for the team PhD degree in Computer Science, Machine Learning…