Senior Research Engineer

Thomson Reuters

Senior Research Engineer at Thomson Reuters Labs developing AI and ML capabilities. Innovating solutions to transform legal, accounting, and government sectors globally.

Posted 7/17/2026full-timeNew York City • Minnesota, Missouri, New York • 🇺🇸 United StatesSenior💰 $110,000 - $204,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python software development, machine learning solutions, and cloud computing, while effectively collaborating with cross-functional teams to deliver innovative and production-ready applications. Proficient in Agile methodologies and CI/CD practices to ensure timely and high-quality software delivery.

Highest-signal resume keywords

Python Software DevelopmentMachine Learning SolutionsCloud Computing DevelopmentAgile MethodologiesCI/CD Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData Processing PipelinesClean Code PracticesNatural Language ProcessingDevOps Concepts

Soft Skills

Team CollaborationEffective CommunicationInnovative Problem SolvingSense of Urgency

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

Software Development LifecycleApplied Data ScienceProduction Ready Solutions

Tech Stack

Tools & technologies

CloudPythonSDLC

About the role

Key responsibilities & impact

Apply modern software development practices throughout the entire software development lifecycle
Create large scale data processing pipelines for machine learning algorithms
Work collaboratively in a team-oriented environment
Deliver timely solutions with a strong sense of urgency
Contribute innovative ideas and solutions, accountable for end-to-end deliveries
Engage and communicate effectively with cross-functional partners

Requirements

What you’ll need

A Bachelor’s Degree in Computer Science, Related Field, or Equivalent Experience
At least 5 years software engineering experience
At least 2 years working on a Machine Learning related product or solution
A deep understanding of Python software development stacks and ecosystems
Ability to write clean, reusable, maintainable and well-tested code
Experience collaborating with applied data scientists to translate research work in production ready solutions
Experience with cloud computing development
Experience with Agile Methodologies
Experience implementing CI/CD, DevOps, and SDLC concepts in application delivery
Exposure to Natural Language Processing (NLP) problems

Benefits

Comp & perks

Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office)
Flexibility & Work-Life Balance: Supportive workplace policies for personal and professional responsibilities
Career Development and Growth: Continuous learning and skill development opportunities
Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation and mental health days
Culture: Award-winning reputation for inclusion and belonging
Social Impact: Two paid volunteer days off and opportunities for pro-bono consulting