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About the Role

Thomson Reuters Labs is seeking Research Scientists with a passion for building complex AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters, focused on research and development, particularly on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for managers who can inspire and guide their teams, are willing to roll up their sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables.

Responsibilities

Lead strategic planning, hiring, and management in foundational research.
Master management skills, mentor, lead, and help direct reports grow.
Innovate at the cutting edge of AI Research with rich data sources.
Develop novel performance-driven data sub-selection methods and training insights.
Be involved in the entire research & model development lifecycle, including brainstorming, coding, testing, and delivering high-quality reports.
Collaborate with a global team of research engineers and academic partners.
Share technical findings with the wider community through seminars, lectures, conferences, and publications.

Requirements

PhD in a relevant discipline.
3+ years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia or industry.
Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with a focus on training data curation, synthetic data generation, etc.
Familiarity with one or more deep learning frameworks (e.g., pytorch, jax, tensorflow).
Experience in ML Research beyond completing a PhD (e.g., supervision, industry experience, leading academic initiatives).
Excellent communication skills to report and present research findings and developments clearly, both orally and in writing.
Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions.
Good social skills and ability to motivate, inspire, and mentor team members.
Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity.
High-impact publications in top-tier conferences or other influence in the research community.
5+ years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia or industry.
Extensive experience with deep learning and large-scale model training.
Extensive experience working with LLM training-data, ideally by being involved in the training of large-scale foundation models.
Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery.
Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.

Skills

Machine Learning
AI Systems
Large Language Models (LLMs)
LLM Training
Data-centric Machine Learning
Post-training techniques
Evaluation
Deep learning frameworks
pytorch
jax
tensorflow
Software engineering
Infrastructure engineering
Distributed training
Amazon AWS
MS Azure
Google Cloud

Location

Hybrid

Work Type

Hybrid Work Model
Full-time

Experience Level

3+ years of hands-on experience leading teams
5+ years of hands-on experience leading teams

Education Level

Salary/Compensations

Competitive compensation & benefits packages

Benefits

On-the-job coaching and learning
Opportunity to work with cutting-edge methods and technologies
Access to large datasets and compute resources
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Work from anywhere for up to 8 weeks per year
Two paid volunteer days off annually

About the Company

Thomson 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.
Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals.
We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
We also provide access to all major cloud computing platforms to our researchers and engineers.

Equal Opportunity

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.