Lead ML Research Engineer: Scale & Innovate

We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others. Is this you? Come join us! About the Role: In this opportunity as aLead Research Engineer, you will: Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack. Develop and Deliver:Applying modern software development practices, you will be involved in the entire software development lifecycle, building,testingand 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 willdevelophigh performing scalablesystems 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. About You: You are a fit for the Lead Research Engineer role if your background includes: Essential skills & experience: A Bachelors Degree in Computer Science or Related Field. At least 8 years software engineering experience, ideally in the context of machine learning and natural language processing. Have experience leading technical workstreams within a software engineering organization. Are skilled and have a deep understanding of Python software development stacksand ecosystems, experience with other programming languages and ecosystems is ideal. Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems. Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn. Take pride in writing clean, reusable, maintainable and well-tested code. Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform). Proficient in system analysis and design& Consider DevOps and automation as fundamental pillars of your work. Have a desire to learn and embrace new and emerging technology. Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods. Have experience leading and/or mentoring teams. Have experience providing guidance around roadblocks for team. Have experience providing updates to internal stakeholders. Have exposure to cloud computing development (AWS/Azure). Preferred skills & experience: Experience integrating Machine Learning solutions into production-grade softwarewith a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Have been successfully taking and integrating Machine Learning solutions to production-grade software Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.) What's In It For You: At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth: Casual and diverse office environment where colleagues come from over 30 countries Competitive salary Hybrid work environment (in-office & home) Two additional days off for voluntary jobs Wellbeing scheme including private healthcare, pension, Multisport card and more High standards of ethics in the workplace Learning & Development through company sponsored access to learning, mentorship and networking programs Get a 360° view of Thomson Reuters: Thomson Reuters Labs is a microcosm of the entire corporation, giving employees who work here: Accelerated growth in cross-business knowledge. A rich internal network, including senior leadership representing all customer segments and functions.

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Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. #J-18808-Ljbffr Thomson Reuters