Lead Research Engineer

Do you love creating innovative solutions for customers

We are seeking a passionate Lead Research Engineer who will bring expertise in AI and Deep Learning and is interested in building data-driven capabilities that drive 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 areas tobuild the foundational intelligence layer that powers every major capability across our legal AI platformfrom 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 Bachelors Degree in Computer Science Related Field or Equivalent Experience

• At least 7 years 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 of ModelOps and MLOps principles

• 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

• 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 training and inference pipelines familiarity with GPU memory management OOM debugging and compute-communication overlap

• Experience optimizing LLM inference for throughput and latency hands-on with inference frameworks (vLLM TensorRT TensorRT-LLM DeepSpeed Inference) and knowledge of quantization techniques (INT8 GPTQ bitsandbytes)

• Experience with graph database technologies like Neo4j Amazon Neptune

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