Senior Research Engineer

Senior Research Engineer – New Position
This position is open due to an existing vacancy to support our evolving business needs.

Do you love creating innovative solutions for customers?

We are seeking a passionate Senior Research Engineer who will bring expertise in AI and Deep Learning and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and 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.

About the Role

Develop and Deliver:
Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions.

Build Scalable DL/LLM Solutions:
You will create large scale data processing pipelines to help researchers build and train novel deep learning and LLM algorithms. You will develop high performing scalable systems 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
You are a fit for the position of Senior Research Engineer if your background includes:

Required Skills and Experience

A Bachelors Degree in Computer Science, Related Field, or Equivalent Experience

At least 5 years software engineering experience.

At least 2 years working on a Deep Learning or LLM related product or solution.

Have a deep understanding of Python software development stacks and 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, Dev Ops, and SDLC concepts in development of an application.

Preferred Skills and Experience

Have experience integrating Deep Learning and LLM solutions into production-grade software and have an understanding of Model Ops 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 language and development stack (Java, Rust, Scala, Typescript, etc.).

Expertise with modern deep learning frameworks for distributed training (Transformers, Accelerate, Deep Speed, FSDP, PyTorch DDP, Torch Tune, 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, Tensor

RT, Tensor

RT-LLM, Deep Speed Inference) and knowledge of quantization techniques (INT8, GPTQ, bits and…