Hiring: Senior Research Engineer Company: Thomson Reuters Location: Eagan, MN Job Posted Time: 2026-09-03 10:40:15 Employment Type: Remote Target Skills & Keywords : AI, Agile, AutoCAD, CAD, CI/CD, Digital Transformation, Java, MLOps, Machine Learning, NLP, Python, Rust, Scala, TypeScript About the job Experience: •5 years software engineering experience. •2 years working on a Machine Learning related product or solution. •At least 5 years software engineering experience. •At least 2 years working on a Machine Learning related product or solution. Required Skills: •Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. •Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.  You will develop high performing scalable systems in the context of large online delivery environments. •Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams. •Be an Agile Person:  With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions. •Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries. •Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments. Qualifications: •A Bachelor’s Degree in Computer Science, Related Field, or Equivalent Experience •A deep understanding of Python software development stacks and ecosystems. •Demonstrated capacity to write clean, reusable, maintainable and well-tested code •Track record of quickly adopting and applying emerging technologies to solve complex problems •A keen interest in real-world applications and impact. •Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, Text classification, Summarization, etc. •Demonstrated capacity to understand and translate between language and methodologies used both in research and engineering fields Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!