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Lead Applied Research Engineer, ML

Thomson Reuters


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0-10 Years
a month ago
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Job Description

Thomson Reuters Labs is hiring in Bangalore. We are seeking a passionate Lead Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation.As amember of Thomson Reuters Labs in Bangalore, you will haveadirect impact on our companybyhelping to create newand innovative capabilities that will delight our customers.

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. 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 a Lead 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

  • Have aBachelor of Sciencedegree, computerscience or related field
  • At least 10 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
  • 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

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.


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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