Lead Research Engineer

About the role

Thomson Reuters Labs is a place where you can bring your expertise in AI and ML to transform how legal, accounting, and government professionals work globally. As a Lead Research Engineer, you will:

• Provide technical leadership, establish standards and best practices, and scale technology stack.
• Apply modern software development practices to build, test, and deliver high-quality solutions.
• Create large-scale data processing pipelines for training novel machine learning algorithms.
• Develop scalable systems in large online delivery environments.
• Collaborate with cross-functional and remote teams, sharing information and valuing diverse ideas.
• Work in a fast-paced, dynamic environment, delivering solutions promptly.
• Contribute innovative ideas and solutions, and be accountable for end-to-end deliveries.
• Communicate effectively with cross-functional partners and team members.

Responsibilities

As a Lead Research Engineer, you will:

• Lead technical workstreams within a software engineering organization.
• Drive strategy across initiatives, shape engineering practices and standards, and mentor teams.
• Integrate Machine Learning solutions into production-grade software, with a sound understanding of ModelOps and MLOps principles.
• Collaborate with research scientists to evaluate, prototype, and productionize research concepts.
• Use automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure.
• Perform system analysis and design, and embrace new and emerging technology.
• Have a deep understanding of Python software development stacks and ecosystems, and proficiency in other programming languages.
• Be proficient in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure.
• Have a strong sense of urgency and a desire to work in a fast-paced, dynamic environment.
• Write clean, reusable, maintainable, and well-tested code.
• Have a desire to learn and embrace new and emerging technology.
• Have a sound understanding of probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods.
• Have experience integrating Machine Learning solutions into production-grade software.
• Have experience in collaborating with research scientists to evaluate, prototype, and productionize research concepts.
• Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

Requirements

A Bachelor of Science degree in Computer Science or a related field.

At least 8 years of software engineering experience, ideally in the context of machine learning and natural language processing.

Experience leading technical workstreams within a software engineering organization.

Skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.

Driving innovation throughout the entire software lifecycle – specify, design, build, scale and maintain Machine Learning systems and capabilities in production environments.

Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch.

Experience in collaborating with research scientists to evaluate, prototype and productionize research concepts.

Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).

Proficiency in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.

A desire to learn and embrace new and emerging technology.

Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods.

Demonstrated ability to mentor engineers, elevate team technical practice.

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.

Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

Qualifications

Experience leading technical workstreams within a software engineering organization.

Skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal.

Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).

Experience in collaborating with research scientists to evaluate, prototype, and productionize research concepts.

Proficiency in system analysis and design & Consider DevOps and automation as fundamental pillars of your work.

A desire to learn and embrace new and emerging technology.

Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods.

Demonstrated ability to mentor engineers, elevate team technical practice.

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.

Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

Skills

Python software development stacks and ecosystems.

Automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).

Collaboration with research scientists to evaluate, prototype, and productionize research concepts.

System analysis and design & Consider DevOps and automation as fundamental pillars of your work.

Probabilistic models and understanding of the mathematical concepts underlying machine learning methods.

Mentoring engineers, elevating team technical practice.

Experience in Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

Benefits

Hybrid Work Model: We adopt a flexible hybrid working environment (2-3 days a week in the office depending on the role).

Flexibility & Work-Life Balance: 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. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

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. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

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. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review.