Research Engineer – Data & Analytics (ML-Enabled Systems)Thomson Reuters • United States
Research Engineer – Data & Analytics (ML-Enabled Systems)
Thomson Reuters
- United States
- United States
Über
About the Role Are you passionate about building data infrastructure that powers cutting‑edge AI evaluation systems? Thomson Reuters Labs is seeking a Data Engineer to join our AI data, evaluation, and governance team and help shape how we measure, monitor, and improve AI‑powered legal products.
In This Role As a Data Engineer, You Will
Build & Deploy Product Analytics Infrastructure: Design and implement scalable data pipelines and analytics systems that transform customer feedback and product traces into actionable insights across AI‑powered legal products.
Enable AI Evaluation at Scale: Build data workflows to enable the deployment of automated evaluation metrics as production analytics to continuously track product quality, detect errors, and alert teams to regressions before they impact customers.
Establish Data Governance & Quality Standards: Develop technical governance infrastructure for manual and automated review of AI product data, particularly for small and medium law firms, ensuring data quality, security, and compliance.
Drive Metric Development: Analyze product traces and customer feedback to identify quality issues and patterns that inform the development of new evaluation metrics and feed into product roadmap decisions.
Support Cross‑Functional Teams: Partner closely with Product Scientists, Research Engineers, and Subject Matter Experts to implement configurations, build reporting dashboards, and create self‑service tools for metric implementation.
Advance AI Evaluation Best Practices: Contribute to the development and scaling of automated evaluation capabilities and establish best practices for AI evaluation and analytics across Thomson Reuters pillars (Legal, Tax & Accounting, and Reuters News).
About You You are a data engineering professional who thrives at the intersection of infrastructure, analytics, and AI systems. You understand that great AI products require great measurement, and you’re excited to build the systems that make that possible.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related technical field – 8+ years of professional experience in data engineering, analytics engineering, or related roles.
Strong programming skills in Python and SQL with experience building production data pipelines.
Hands‑on experience with modern data stack technologies (e.g., Snowflake, AWS, Power BI, or similar orchestration, transformation, or analytics tools).
Experience with cloud platforms (e.g., AWS, or similar) and their data services.
Proven ability to design and implement scalable ETL/ELT pipelines for structured and unstructured data.
Experience with data warehousing, data modeling, and analytics infrastructure.
Strong understanding of data governance, data quality, and security best practices.
Excellent communication skills to collaborate with cross‑functional teams including scientists, engineers, product managers, and subject matter experts.
Self‑driven attitude with ability to manage projects independently and meet deadlines.
Core Technical Skills (Must‑Have): Snowflake, Power BI, SQL, Python, ETL/ELT pipelines, data lakes, AWS/cloud.
Analytics & Data (Critical): Experience with customer data, user behavior, and product analytics; Ability to build dashboards, define KPIs, and deliver insights.
ML / AI Data (Required): Experience working with AI/ML data (prompts, model outputs, evaluation datasets); Ability to analyze and monitor AI performance; Familiarity with LLMs is a plus (not required). Not a model‑building role – focus is on analyzing AI data.
Data Governance: Experience with data quality, governance, and handling sensitive data (PII).
Automation & Scale: Build automated, scalable data pipelines and workflows.
Preferred Qualifications
Experience with AI/ML systems, particularly in evaluation, monitoring, or observability.
Familiarity with LLM applications and challenges in measuring generative AI quality.
Experience building analytics for customer‑facing products or SaaS applications.
Knowledge of data visualization tools (e.g., Power BI, Streamlit, Snowflake).
Experience working with product analytics or user behavior data.
Background in building self‑service analytics or internal tooling.
Understanding of legal, compliance, or regulated industry data requirements.
Experience with real‑time data processing and alerting systems.
What’s in it For You?
Hybrid Work Model: Flexible hybrid working environment (2–3 days a week in the office depending on the role) with seamless digital and physical connectivity.
Flexibility & Work‑Life Balance: Flex My Way policies, 8 weeks of remote work per year, and supportive workplace policies to manage personal and professional responsibilities.
Career Development and Growth: Grow My Way programming, continuous learning, and skill‑first approach to empower you to lead and thrive in an AI‑enabled future.
Industry Competitive Benefits: Flexible vacation, two company‑wide mental health days off, Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Inclusive, flexible, and collaborative values with a global reputation for inclusion and belonging.
Social Impact: Paid volunteer days, pro‑bono consulting projects, and ESG initiatives.
Real‑World Impact: Contribute to justice, truth, and transparency through trusted, unbiased information.
Equal Employment Opportunity Statement To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace. We make reasonable accommodations for applicants with disabilities and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
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Sprachkenntnisse
- English
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