Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Thomson Reuters

Research Engineer

Thomson Reuters

. Apply modern software development practices across the entire software development lifecycle .

Posted 10/12/2026full-timeRemote • Minnesota • United StatesJuniorMid-Level💰 $88,200 - $163,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software engineering with a focus on machine learning and natural language processing, utilizing Python and relevant data science libraries to develop scalable, high-quality solutions. Capable of integrating machine learning capabilities into production systems while collaborating effectively with cross-functional teams.

Highest-signal resume keywords
Python Software DevelopmentMachine Learning IntegrationNatural Language ProcessingCloud Platform FamiliarityData Science Libraries

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software Development LifecycleData Processing PipelinesHigh-Quality Solution DeliveryClean Code DevelopmentProbabilistic ModelsAutomation ProficiencySystem MonitoringCloud-Native ApplicationsNamed Entity RecognitionInformation Extraction
Soft Skills
CollaborationCommunicationInnovative ThinkingAdaptabilityCross-Functional Partnership
Tools & Technologies
AWSAzureNumpyScipyPandasDaskSpaCyNLTKScikit-learn
Certifications & Qualifications
Bachelor of Science in Computer Science
Industry Keywords
Machine LearningNatural Language ProcessingData ScienceSoftware EngineeringCloud Computing

Tech Stack

Tools & technologies
AWSAzureCloudNumpyPandasPythonScikit-Learn

About the role

Key responsibilities & impact
  • Apply modern software development practices across the entire software development lifecycle
  • Design, build, test, and deliver high-quality solutions
  • Create large-scale data processing pipelines for researchers building and training machine learning algorithms
  • Develop high-performing, scalable systems for large online delivery environments
  • Share information and partner with cross-functional and remote teams
  • Deliver timely solutions in a fast-paced, dynamic environment
  • Try new approaches and learn new technologies
  • Contribute innovative ideas and deliver end-to-end solutions
  • Communicate ideas and collaborate on technical developments with cross-functional partners and team members

Requirements

What you’ll need
  • Bachelor of Science degree in computer science or related field
  • At least 2 years of software engineering experience, ideally in machine learning and natural language processing
  • Experience and understanding of Python software development stacks and ecosystems
  • Ability to understand, apply, integrate, and deploy machine learning capabilities and techniques into other systems
  • Familiarity with Python data science libraries including Numpy, Scipy, Pandas, Dask, spaCy, NLTK, and scikit-learn
  • Clean, reusable, maintainable, and well-tested code development
  • Familiarity with probabilistic models and mathematical concepts underlying machine learning methods
  • Proficiency in automation, system monitoring, and cloud-native applications
  • Familiarity with AWS, Azure, or a related cloud platform
  • Exposure to Natural Language Processing problems and familiarity with Named Entity Recognition, Information Extraction, and Information Retrieval
  • Ability to translate between research and engineering methodologies
  • Ability to integrate machine learning solutions into production-grade software

Benefits

Comp & perks
  • Flexible work arrangements, including work from anywhere for up to 8 weeks per year
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Headspace app access
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Mental, physical, and financial wellbeing resources
  • Two paid volunteer days off annually
  • Pro-bono consulting project opportunities
  • Environmental, Social, and Governance (ESG) initiative opportunities
  • Health, dental, vision, disability, and life insurance programs
  • Competitive 401k plan with company match
  • Competitive vacation, sick and safe paid time off
  • Paid holidays, including two company mental health days off
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident and sickness insurance
  • Optional life and AD&D insurance
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Employee Assistance Program
  • Group Legal Identity Theft Protection benefit
  • 529 Plan access
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Employee Stock Purchase Plan
  • Potential eligibility for an Annual Bonus based on enterprise and individual performance