Are you excited about working at the forefront of applying machine learning to real world software problems in Legal, Tax, Compliance, and News? Thomson Reuters Labs is seeking machine learning scientists with a passion for solving problems in a collaborative setting with Product and Engineering teammates in our Toronto, Minneapolis, Carrollton, Zug, London, Bangalore, Brazil and Mexico City locations. It’s an exciting time to join Thomson Reuters as we announced this year, we are investing $100 million annually on our AI capabilities. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies in close collaboration with the Product and Engineering teams. TR Labs innovates collaboratively across our core segments in Legal, Tax Accounting, Government, and Reuters News. In addition to this co-development and innovation, we also invest in long term research that can shape the future for our products and customers. As a Sr Applied Machine Learning Scientist in TR Labs, you will be part of a global interdisciplinary team of experts. We hire specialists and generalists across a variety of AI research areas, as well as Engineering and Design, to drive the company’s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways. About the role As a Senior Applied Machine Learning Scientist, you will: Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery. Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables. Innovate: You will be empowered to try new approaches and learn new technologies and. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data. Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise. About you Basic qualifications Master’s or Bachelor's with a comparable level of experience or PhD in a relevant discipline  Significant practical, relevant experience building AI/ML products and applications Solid software engineering and / or data engineering skills for prototyping Experience as a technical leader, leading aspects of the following: aiding in the ideation with product stakeholders comfort in dealing with uncertainty and ambiguity in problem statements and paths to success breaking down complex problems into tractable components with iterative improvements formulating research and development plans coordinating and guiding the work of others communication of progress and plans with varied stakeholders Preferred qualifications Significant practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry Demonstrated ability to translate cutting edge research into working prototypes Experience in a fast-paced, agile environments managing uncertainty and ambiguity Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders Diverse experiences across problem spaces, companies and cultures What's in it for you? You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through: Technology: Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. 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. Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: global minimum parental leave, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing. Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. Learning Development: LinkedIn Learning access; enterprise-wide company learning days, internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. Purpose-Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet 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. #LI-IG1 En Thomson Reuters creemos que lo que hacemos importa. Nos apasiona nuestro trabajo , inspirados por el impacto que tiene en nuestro negocio y en nuestros clientes. Como equipo , creemos en ganar como uno solo; colaborando para alcanzar objetivos compartidos y desarrollando experiencias desafiantes y significativas . Con más de 25.000 empleados en más de 100 paises , trabajamos con flexibilidad a través de las fronteras y realizamos innovaciones que ayudan a dar forma a las industrias de todo el mundo . Hacer que esto suceda es un proceso dinámico y en evolución; contamos con que cada empleado sea un catalizador para impulsar nuestro desempeño y el suyo propio. Como empresa global , confiamos en la diversidad cultural y pensamos en cumplir nuestros objetivos. Para asegurarnos que podemos hacerlo, buscamos talentos, empleados calificados en todas nuestras operaciones alrededor del mundo, independientemente de la raza , color , sexo, identidad y expresión de género , nacionalidad , religión , orientación sexual , discapacidad , edad , estado civil , y/o cualquier otra clasificación protegida según la ley aplicable. Thomson Reuters se enorgullece por ser un empleador con igualdad de oportunidades de empleo/acción, que ofrece un lugar de trabajo libre de drogas . También hacemos adaptaciones razonables para personas calificadas con discapacidades y para creencias religionas sinceras de acuerdo a la ley aplicableble. Protégete de ofertas de trabajo fraudulentas haz click aquí para más información. Podés encontrar más información sobre Thomson Reuters en thomsonreuters.com. Thomson Reuters proporciona a los profesionales la inteligencia , tecnologia y experiencia humana que necesitan para encontrar respuestas confiables . Permitimos que los profesionales de los mercados financieros y de riesgos , legales , fiscales , contables y de medios de comunicacion , tomen las decisiones más importantes , todo ello impulsado por la organizacion de noticas más confiable del mundo. Hear from one of our AI Experts, Shawn Malhotra, Thomson Reuters' Head of Engineering on the key components that go into innovating AI at Thomson Reuters.