Thomson Reuters is seeking a Generative AI and Machine Learning Engineer to join their team in a hybrid work environment. This role offers an exciting opportunity to work at the intersection of artificial intelligence and enterprise solutions, supporting product development efforts ranging from generative AI to machine learning applications.
The position requires a minimum of 3 years of practical experience in AI/ML product development, with a strong focus on generative AI technologies such as RAG patterns, ReAct, and LangChain. The ideal candidate will possess both technical expertise and leadership capabilities, being able to drive end-to-end model development while collaborating with global cross-functional teams.
Thomson Reuters offers a comprehensive benefits package including flexible work arrangements, competitive compensation ($134,680 - $250,120), and extensive health benefits. The company's commitment to work-life balance is demonstrated through their Flex My Way policy, which includes work-from-anywhere options for up to 8 weeks annually.
The role involves working on cutting-edge AI technologies while contributing to Thomson Reuters' mission of providing trusted content and technology to professionals across various sectors. You'll be part of a team that values innovation, continuous learning, and professional growth, with access to the latest tools and technologies in the AI/ML space.
Key responsibilities include developing and implementing machine learning models, leading technical aspects of projects, and communicating effectively with stakeholders. The position requires U.S. citizenship and the ability to obtain a national security clearance, reflecting the importance and sensitivity of the work involved.
This is an excellent opportunity for an experienced AI/ML professional looking to make a significant impact in a global organization that serves millions of professionals worldwide. The role combines technical challenges with leadership opportunities, offering a clear path for career growth and development in the rapidly evolving field of artificial intelligence.