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 at our Bangalore location. It's an exciting time to join Thomson Reuters as we announced last 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 an Associate 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 an Associate Applied Machine Learning Scientist, you will:
- Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for 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.
- Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will connect complex business requirements with development deliverables. 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. 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.
About you:
This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!
- Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Deep Neural Networks.
- Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS).
- Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace, OpenAI & LangChain.
- Have familiarity with common NLP use cases such as chatbot development, information retrieval, language translation, named entity recognition, summarization and topic modeling.
- Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
- Hold a degree in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines.
- Have good communication skills and the ability to work collaboratively as part of a team.
- Software engineering and/or data engineering skills for prototyping.
- Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders.
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:
- 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: flexible vacation, 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; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters caf 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.
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.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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More information about Thomson Reuters can be found on https://thomsonreuters.com.
