Do you love creating innovative solutions for customers?
We are seeking a passionate Lead Research Engineerwho will bring expertise in AI and Deep Learning and is interested in building data-driven capabilities that drive transformation.As amember of Thomson Reuters Labs 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 areastobuild the foundational intelligence layer that powers every major capability across our legal AI platform-from search and information extraction to agentic reasoning in products like Westlaw, PracticalLaw, and CoCounsel.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 aLead Research Engineer, you will:
Lead and Deliver Large-Scale AI/ML Solutions: Lead significant AI/ML projects from concept to deployment, designing and developing end-to-end solutions including large-scale data processing pipelines, distributed search/retrieval systems, and LLM-powered applications. Deliver high-quality software features that meet release commitments using modern development practices and agile methodologies.
Drive Technical Innovation and Excellence: Demonstrate creativity and ingenuity in solving complex problems with little precedent. Evaluate and advise on emerging technologies to drive business growth. Contribute innovative ideas, propose new approaches, and establish team standards and best practices for scalable system development in large online delivery environments.
Provide Strategic Direction and Ownership: Take operational responsibility by setting and meeting measurable goals for the team. Determine work priorities based on general direction from senior leadership. Break down business requirements into functional specifications and be accountable for end-to-end deliveries.
Influence and Mentor Across Teams: Influence and collaborate effectively with cross-functional and remote teams through dynamic communication. Mentor less experienced colleagues and share knowledge as a thought leader in company-wide forums. Value diverse ideas and partner effectively in a team-oriented environment.
Execute with Quality and Agility: Write high-quality code for complex software programs and build high-performing, scalable systems. Actively lead agile ceremonies and SDLC processes with a strong sense of urgency. Deliver timely solutions in a fast-paced, dynamic environment while maintaining exceptional quality standards.
About You:
You are a fit for the position of Lead Research Engineer if your background includes:
Required Skills and Experience:
A Bachelor's Degree in Computer Science, Related Field, or Equivalent Experience
At least 7years of software engineering experience.
At least 2 years of building large scale data processing pipelines, distributed search and retrieval systems.
At least 2 years of working on Deep Learning or LLM related products or solutions.
Demonstrate ability to provide technical leadership and influence without formal authority
Have a deep understanding of Python software development stacksand ecosystems.
Demonstrate ability to write clean, reusable, maintainable and well-tested code
Demonstrate a desire to learn and embrace new and emerging technology
Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
Keen interest in real-world applications and impact.
Strong experience with cloud computing development (AWS preferred).
Have experience with Agile Methodologies.
Have experience implementing CI/CD, DevOps, and SDLC concepts in the development of an application.
Preferred Skills and Experience:
Have experience integrating Deep Learning and LLM solutions into production-grade softwareand have an understanding ofModelOps and MLOps principles
Hadprevious 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
Hands-on experience in other programming language/scripting langugage and development stack (Java, Rust, Scala, Typescript, etc.)
Expertise with modern deep learning frameworks for distributed training (Transformers, Accelerate, DeepSpeed, FSDP, PyTorch DDP, TorchTune, LLamaFactory), optimizing large-scale model training on multi-GPU/multi-node clusters.
Experience identifying and resolving bottlenecks in... For full info follow application link.
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 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 country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
