…As a Reinforcement Learning Engineer, you will be a core contributor to the intelligence and physical capabilities of our humanoid platforms. This role is…

…JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving state-of-the-art performance on our humanoid…

…As an AI Controls Engineer, you’ll develop and deploy reinforcement learning policies across humanoid locomotion, whole-body control, and manipulation—integrating perception to…

You'll build the systems that make reinforcement learning work at frontier scale — coupling policy optimization with large fleets of inference workers, agentic environments…

…ABOUT THE ROLE We're hiring a Software Engineer II to help build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier…

…Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform 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…

…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…

…Our work spans preference alignment and reinforcement learning for recommendation systems, self-improving agentic AI, and efficient training and inference at scale. We publish…

…Experience with reinforcement learning from human feedback (RLHF) and preference optimization. Expertise in statistical analysis, A/B testing, and experimental design at scale.

…graders, synthetic data generation, or human evaluation. - Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for…

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

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of…

…Capture lessons learned. Recommend process improvements that improve quality performance and reduce recurrence of defects. Contractor Accountability Hold GCs accountable for their QA/QC…

…Experience designing scalable, blended learning and everboarding programs that build proficiency and reinforce learning in the flow of work. Demonstrated ability to influence senior…

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

…A background spanning software engineering and data science, data engineering or analytics engineering. Feature flags: Experience building feature flagging, user targeting, progressive rollout or…

…Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious…

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

…Product Design Engineers engage with an experienced cross-disciplinary team to conceive, design and bring to market innovative consumer products for the Leo program…

…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…