…Engineer on Braze’s AI Decisioning Experience team, you will play a pivotal role in shaping the future of our AI decisioning (reinforcement learning…

…prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to translate highly technical AI or machine learning concepts into…

…On our team, you’ll play a pivotal role in making large ‑ scale post-training and reinforcement learning workflows faster, safer, and more reliable…

…Deep Learning and Reinforcement Learning. As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector – AIML Data Platforms and Machine Learning Center…

…of experience in applied machine learning or computer vision Have a Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master…

…1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of…

…Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and…

…forefront of innovation in agentic RL space: - Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code…

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

…ML algorithms and model architectures; Designing, training and evaluating machine learning models; Productionizing and deploying machine learning models at scale; Orchestrating data pipelines and…

…principles, including machine learning, natural language processing, computer vision, and reinforcement learning. Use your understanding of both supervised and unsupervised learning techniques, and their…

…We are building our first fleet of autonomous construction machines and are seeking a Controls and Robot Learning Engineer. In this role, you will…

…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…

…driven wave of robotics, to today’s frontier in imitation learning, reinforcement learning, robot foundation models, and sim-to-real. Demonstrated ability to develop…

…Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation…

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

…advanced fraud prevention platforms — spanning machine learning, graph intelligence, and MLOps. You will partner with Data Science, Engineering, Fraud Operations, and Model Risk Management…

…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…

…Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft…

…multi-modal robot learning - VLA post-training, reinforcement learning - Physics-aware reconstruction, deformable simulation - MSc or PhD in machine learning and computer vision with…

…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…

…Master's or PhD in Computer Science, Machine Learning, Statistics, or related quantitative field. Deep hands-on experience with large language models (LLMs), vision…