- Amazon (San Francisco, CA)
- …fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both ... highly scalable and realistic simulation environments for training agents using reinforcement learning. - Develop and deploy generative AI approaches to automate… more
- Amazon (San Francisco, CA)
- …to solve real-world problems - Communicate results and insights to both technical and non- technical audiences, including through presentations and written ... Learning, or a related field, with a focus on Gen AI and reinforcement learning -Demonstrated experience in developing and implementing algorithms and models for… more
- Amazon (San Francisco, CA)
- …Key job responsibilities * Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust. * Work ... include: work safely and cooperatively with other employees, supervisors, and staff ; adhere to standards of excellence despite stressful conditions; communicate… more
- Amazon (San Francisco, CA)
- …really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and ... on the critical path of the Lab's research. Basic Qualifications * Deep technical expertise and detailed understanding of neural networks, large language models, … more
- Amazon (San Francisco, CA)
- …dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff . Basic Qualifications - 3+ years' experience ... particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world...typical role boundaries to get things done - every member of technical staff is… more
- Amazon (San Francisco, CA)
- …to accelerate scientific workflows, and scaling up AI systems. You will be hired as a Member of Technical Staff . Basic Qualifications - 3+ years of industry ... particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world...typical role boundaries to get things done - every member of technical staff is… more
- Amazon (San Francisco, CA)
- …lab, mentoring team members, and hiring great people. You will be hired as a Member of Technical Staff . Basic Qualifications - 2+ years' experience in ... fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both… more
- Amazon (San Francisco, CA)
- …the frontend systems that power our research platform. You will be hired as a Member of Technical Staff . Basic Qualifications - 3+ years of professional ... fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both… more
- Amazon (San Francisco, CA)
- …really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and ... and engineer teams to build our agentic platform. As a UX and technical leader, you blend design leadership with engineering expertise to solve ambiguous user… more
- Deloitte (San Francisco, CA)
- …lasting relationships through day-to-day interactions with key client managers and staff . + Delivery: Bring the functional/ technical experience and knowledge ... client's quality standards. Additionally, Specialist Masters are expected to mentor/coach staff , contribute to sales activities, and develop eminence through writing… more
- Amazon (San Francisco, CA)
- …team members, recruit great people, and stay technically involved. You will be hired as a Member of Technical Staff . About the team Our lab is a small, ... fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both… more