Thomson Reuters · 1 hour ago
Lead Research Engineer
Thomson Reuters is a global business providing trusted content and technology to empower professionals in various fields. The Lead Research Engineer will lead the development of innovative AI/ML solutions that enhance the company's capabilities and support its mission to deliver impactful services to customers.
AdviceAnalyticsFinancial ServicesManagement ConsultingProfessional ServicesRisk ManagementSoftware
Responsibilities
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
Qualification
Required
A Bachelor's 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 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, DevOps, and SDLC concepts in the development of an application
Preferred
Have experience integrating Deep Learning and LLM solutions into production-grade software and 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 language 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
Benefits
Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
Optional hospital, accident and sickness insurance paid 100% by the employee
Optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Tuition Reimbursement
Access to Employee Stock Purchase Plan
Company
Thomson Reuters
Thomson Reuters delivers critical information from the financial, legal, accounting, intellectual property, science, and media markets.
H1B Sponsorship
Thomson Reuters has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (12)
2023 (5)
Funding
Current Stage
Public CompanyTotal Funding
unknown1995-11-20IPO
Recent News
Company data provided by crunchbase