Staff Research Scientist (Foundational Model) Job at rights reserved, San Francisco, CA

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  • rights reserved
  • San Francisco, CA

Job Description

Staff Research Scientist (Foundational Model) Specialism LLM and Reinforcement Learning Job Type Full time / Remote NeuralRec has partnered with a global technology company to secure a Research Engineer, specifically working on their Generative AI initiatives. You will be focused on building sustainable AI as they put the customer first and at the heart of development; committing to developing open-source models and technology to serve them. Being a key player in technology for many years, their platform has gathered 100’s of millions of MAUs and curates top-tier content; they are poised to continue to shape AI with their commitment to ethical development. The role combines a mix of purposeful research, you will build and lead a small research team in developing their internal LLM platform. We are looking for abstract thinkers who have ideally worked on a variety of problems across Deep Learning and solve complex NLP/LLM problems. To be successful in the role, you’ll be required to work closely with the wider engineering team developing the research roadmap and strategic direction. You will also be hands-on in developing state-of-the-art features. A strong pedigree of applied research and deep learning is a must. In return, you’ll work on impactful AI problems with an organisation determined to use AI to benefit the people and a wider benefits package that would be expected within a large technology company. Get in touch to be part of this exciting 0-1 build! We also have several LLM opportunities across the US, if you’re passive and open to exploring the market feel free to apply and we will be happy to pick up a confidential conversation. Follow @NeuralRec for the latest AI positions, podcasts, and market insights. We partner with the world’s most innovative AI companies to solve real-world problems. Passionate about applied research? NeuralRec provides salary guidance and personalised career advice to help you find your ideal role. Note Due to high application volumes, we may not be able to respond to every applicant. Please continue to apply for future roles that match your expertise #J-18808-Ljbffr rights reserved

Job Tags

Full time, Remote job,

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