Manager, Research Engineering

India
Permanent
Full-time

1 month ago

Manager - Research Engineering – Machine Learning, Thomson Reuters Labs BangaloreDo you love creating innovative customers solutions by working at the forefront of machine learning Engineering and taking the latest algorithms into production? We are currently seeking a passionate Software Engineer with experience in Machine Learning techniques and interested at building data-driven capabilities that drive transformation as a member of Thomson Reuters Labs in Bangalore. In this role, you will have significant and direct impact on our company in helping to create new information products which customers will use.What do we do? We experiment, build and deliver. We work with big data sets to discover what new products, services, or analysis we can create for our customers. Thomson Reuters is most famous for the Reuters News agency. The company is also one of the leading sources of information for legal professionals, corporates and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news and tax data.Thomson Reuters Labs works across all business segments of Thomson Reuters. You will be part of a diverse, agile and interdisciplinary innovation team located in Bangalore, collaborating with colleagues located in UK, Switzerland, Canada and US. You will work closely with other engineers, designers, data scientists and stakeholders to innovate and code custom applications, data visualizations and interfaces. Incorporating UX and Design Thinking principles with agile methodology, you will produce production grade software that we can validate with customers.The science and engineering of AI is 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 problems spaces; who is comfortable with ambiguity and pivoting when needed. Is this you? Come join us.About the RoleIn this opportunity as a Software Engineer with a specialization in Machine Learning, you will:

Develop and Deliver: Applying modern development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.
Solve Complex Problems: 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 diverse and 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 innovative solutions against strict timelines.
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 active engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

Role ExpectationsYour short-term tasks will be focused on:

Familiarizing and adopting work methodology aligning with the existing engineering organization.
Contributing to the delivery for key initiatives already in-flight within the labs engineering organization.
Collaborating with the broader engineering organization in the definition, refinement and adoption of standards in partnership with central and product technology organizations.

Long-term we will expect you to:

Continue driving a culture of collaboration across sites and functions.
Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery.
Proactively look for and explore opportunities where labs can improve the status quo or generate new business value.

About YouYou’re a fit for the role of Software Engineer - Machine Learning if you:

Can “think in code” and have a deep understanding of the Python software development stacks and ecosystems
Have a fundamental understanding of the Software development Lifecycle
Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
Take pride in writing clean, reusable, maintainable and well-tested code.
Demonstrate experience deploying cloud-native applications in AWS or Azure (or a similar cloud platform) – particularly those involving ML models.
Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch, Huggingface, …
Have a desire to learn and embrace new and emerging technology.
Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
Have a Bachelor's Degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field.

For this role, we also strongly value if you:

Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
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.
Can understand and translate between language and methodologies used both in research and engineering fields.
Have been successfully taking and integrating Machine Learning solutions to production-grade software.

#LI-AS4What’s in it For You?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.Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.Making a Real-World Impact: We are one of the few companies globally 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.About UsThomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.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. 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.As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation .Learn more on how to protect yourself from fraudulent job postings .More information about Thomson Reuters can be found on

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