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 ML 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.

About the Role

In this opportunity as a Lead Research Engineer, you will:

• Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.

• 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 ML Solutions: You will create large-scale data processing pipelines to help researchers build and train novel machine learning 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, and 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 Lead Research Engineer role if your background includes:

Essential skills & experience:

• A Bachelor's Degree in Computer Science or Related Field.
• Significant software engineering experience.
• Demonstrable experience working on a Machine Learning related product or solution.
• Experience leading technical workstreams within a software engineering organization.
• Deep understanding of Python software development stacks and ecosystems; experience with other programming languages is ideal.
• Ability to understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
• Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
• Take pride in writing clean, reusable, maintainable, and well-tested code.
• Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure.
• Proficient 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 understanding of the mathematical concepts underlying machine learning methods.
• Experience leading and/or mentoring teams.
• Experience providing guidance around roadblocks for the team.
• Experience providing updates to internal stakeholders.

Preferred skills & experience:

• Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles.
• Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
• Experience successfully integrating Machine Learning solutions into production-grade software.
• Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

What's in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).
• Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance.
• Culture: Globally recognized and award-winning reputation for equality, diversity, and inclusion.
• Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.
• Social Impact: Employee-driven Business Resource Groups; two paid volunteer days annually; ESG initiatives for local and global impact.
• Purpose Driven Work: We help our customers pursue justice, truth, and transparency.

Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward.

Accessibility

As a global business, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, or any other protected classification under applicable law.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.