Lead Research Engineer

Do you love creating innovative solutions forcustomers? We are seeking a passionate Lead Research Engineer whowill bring expertise in AI and ML and is interested in buildingdata-driven capabilities that drive transformation. As a member ofThomson Reuters Labs, you will have a direct impact on our companyby helping to create new and innovative capabilities that willdelight our customers. What does Thomson Reuters Labs do? Weexperiment, we build, we deliver. We support the organization andour customers through applied research and the development of newproducts and technologies. TR Labs innovates collaboratively acrossour core segments in Legal, Tax & Accounting, Government, andReuters News. As a Lead Research Engineer at Thomson Reuters Labs,you will be part of a global interdisciplinary team of experts. Wehire engineers and specialists across a variety of AI researchareas to drive the company’s digital transformation. The scienceand engineering of AI are rapidly evolving. We are looking for anadaptable learner who can think in code and likes to learn anddevelop new skills as they are needed; someone comfortable withjumping into new problem spaces; who enjoys directing andsupporting the efforts of others. Is this you? Come join us! Aboutthe Role In this opportunity as a Lead Research Engineer, you will:- Be a Leader: Provide technical leadership partnering with otherengineers to develop and improve methodology and evolve thetechnology stack. - Develop and Deliver: Applying modern softwaredevelopment practices, you will be involved in the entire softwaredevelopment lifecycle, building, testing and deliveringhigh-quality solutions. - Build Scalable ML Solutions: You willcreate large scale data processing pipelines to help researchersbuild and train novel machine learning algorithms. You will develophigh performing scalable systems in the context of large onlinedelivery environments. - Be a Team Player: Working in acollaborative team-oriented environment, you will shareinformation, value diverse ideas, partner with cross-functional andremote teams. - Be an Agile Person: With a strong sense of urgencyand a desire to work in a fast-paced, dynamic environment, you willdeliver timely solutions. - Be Innovative: You are empowered to trynew approaches and learn new technologies. You will contributeinnovative ideas, create solutions, and be accountable forend-to-end deliveries. - Be an Effective Communicator: Throughdynamic engagement and communication with cross-functional partnersand team members, you will effectively articulate ideas andcollaborate on technical developments. About You You are a fit forthe Lead Research Engineer role if your background includes:Essential skills & experience: - A Bachelor's Degree inComputer Science or Related Field. - Significant softwareengineering experience. - Demonstrable experience working on aMachine Learning related product or solution. - Experience leadingtechnical workstreams within a software engineering organization. -Deep understanding of Python software development stacks andecosystems; experience with other programming languages andecosystems is ideal. - Ability to understand, apply, integrate anddeploy Machine Learning capabilities and techniques into othersystems. - Familiarity with the Python data science stack throughexposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy,NLTK, scikit-learn. - Take pride in writing clean, reusable,maintainable and well-tested code. - Proficiency in automation,system monitoring, and cloud-native applications, with familiarityin AWS or Azure (or a related cloud platform). - Proficient insystem analysis and design; consider DevOps and automation asfundamental pillars of your work. - A desire to learn and embracenew and emerging technology. - Familiarity with probabilisticmodels and understanding the mathematical concepts underlyingmachine learning methods. - Experience leading and/or mentoringteams. - Experience providing guidance around roadblocks for theteam. - Experience providing updates to internal stakeholders.Preferred skills & experience: - Experience integrating MachineLearning solutions into production-grade software with a soundunderstanding of ModelOps and MLOps principles. - Previous exposureto Natural Language Processing (NLP) problems and familiarity withkey tasks such as Named Entity Recognition (NER), InformationExtraction, Information Retrieval, etc. - Hands-on experience inother programming and scripting languages (Java, TypeScript,JavaScript, etc.). What’s in it For You? Join us to inform the wayforward with the latest AI solutions and address real-worldchallenges in legal, tax, compliance, and news. Backed by ourcommitment to continuous learning and market-leading benefits,you’ll be prepared to grow, lead, and thrive in an AI-enabledfuture. This includes: - Industry-Leading Benefits: We offercomprehensive benefit plans including flexible vacation, twocompany-wide Mental Health Days off, access to the Headspace app,retirement savings, tuition reimbursement, employee incentiveprograms, and resources for mental, physical, and financialwellbeing. - Flexibility & Work-Life Balance: Flex My Way is aset of supportive workplace policies designed to help managepersonal and professional responsibilities, including flexible workarrangements. - Career Development and Growth: By fostering aculture of continuous learning and skill development, we prepareour talent to tackle tomorrow’s challenges. - Culture: Globallyrecognized for inclusion, innovation, and customer-focus. - HybridWork Model: We’ve adopted a flexible hybrid working environment forour office-based roles. - Social Impact: Make an impact in yourcommunity with our Social Impact Institute. Do you want to be partof a team helping re-invent the way knowledge professionals work?Join us and help shape the industries that move society forward.Accessibility As a global business, we rely on diversity of cultureand thought to deliver on our goals. Thomson Reuters is proud to bean Equal Employment Opportunity/Affirmative Action Employerproviding a drug-free workplace. #J-18808-Ljbffr