Senior Applied Scientist I

Thomson Reuters • Eagan, MN

2d • Hybrid

About The Position

New Position: This position is open due to an existing vacancy to support our evolving business needs. Senior Applied Scientist Are you excited about working at the forefront of applied machine learning research in an industry setting? Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing the next generation of search technology for Legal Professionals globally. We drive AI innovation for Thomson Reuters’ Core Research Products, including Westlaw, Practical Law, and Checkpoint. About the Role Senior Applied Scientists are experts in Machine Learning / NLP, responsible for the design AI solutions that enhance Thomson Reuters' products. They use and develop state-of-the-art research and emerging technology to build industry leading expert systems for legal professionals. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.

Requirements

• PhD in a relevant discipline or Master’s plus a comparable level of experience
• 5+ years hands-on experience building IR / NLP systems for commercial applications
• Experience writing production code and ensuring well-managed software delivery
• Demonstrable experience translating complex problems into successful AI applications
• Outstanding communication, problem solving, and analysis skills
• Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback

Nice To Haves

• Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

Responsibilities

• Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.
• Operate in an agile way, pushing for quick iterations guided by customers’ needs.
• Be accountable for all research deliverables on small to medium sized projects
• Communicate research in peer reviewed publications and develop patentable ideas ensuring competitiveness of the company’s products and services.
• Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.
• Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.

Benefits

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
• In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree