[Jobs] Applied Machine Learning Scientist at Thomson Reuters Labs London

[Dell Zhang]

Applied Machine Learning Scientist

* Specialty: Machine Learning, Information Retrieval, and Natural Language Processing
* Location: London, UK (Full-Time, Hybrid)

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 in London is seeking machine learning scientists with a passion for solving problems in a collaborative setting with Product and Engineering counterparts.

# 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 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.

# Why it's an exciting time to join our team?

We have:
* $100 million annually we are investing in generative AI technologies such as LLM and chat-based conversational interfaces.
* 30+ years of experience deploying AI and language models culminating in industry-leading innovations such as Westlaw Edge, Westlaw Precision, Practical Law Dynamic and Checkpoint Edge.
* 150+ years of providing professionals with trusted, accurate source of legal and tax content, cultivated by over 2,000 subject matter experts.
* Our new plugin with Microsoft and Microsoft 365 Copilot for legal professionals.
* Our announced acquisition of Casetext, a leader in legal AI innovation.

# About the role

As a scientist in TR Labs, 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 the company

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 25,000 employees across more than 75 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.

# About you

## Basic qualifications

* Master's or Bachelor's with a comparable level of experience or PhD in a relevant discipline.
* Proven practical, relevant experience building AI/ML products and applications.
* Software engineering and / or data engineering skills for prototyping.
* Experience as a technical contributor in aspects of the following:
  - comfort in dealing with uncertainty and ambiguity in problem statements and paths to success,
  - executing the research and development with an iterative mindset and approach,
  - 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.
* Ability to translate research into practical working solutions and applications.
* 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.

# How to Apply

Please submit your application at:
https://careers.thomsonreuters.com/us/en/job/JREQ170402/Applied-Machine-Learning-Scientist