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About the Role

This role focuses on the design, development, and production deployment of large-scale search and information retrieval systems that power various Thomson Reuters products. You will address complex problems at scale, delivering reliable and measurable impact across retrieval architectures, indexing pipelines, ranking systems, semantic retrieval, hybrid search, and optimization for legal, tax, and accounting content.

Responsibilities

Design and deploy search architectures supporting large-scale legal, tax, and enterprise content collections
Build and optimize ingestion pipelines that analyze, enrich, and prepare documents for retrieval
Develop ranking and re-ranking systems using both traditional IR techniques and modern LLM-based approaches
Improve retrieval quality through semantic retrieval, hybrid retrieval, query understanding, and relevance optimization
Design evaluation frameworks for retrieval performance, relevance, ranking quality, and end-user outcomes
Lead technical decisions around indexing strategies, retrieval architectures, ranking models, and search infrastructure
Partner with engineering teams to deliver scalable, reliable, and performant search services
Contribute to the development of self-service search platform capabilities used by internal product teams
Provide technical input to senior leadership on search, retrieval, and AI strategy
Mentor applied scientists and machine learning practitioners across the organization

Requirements

PhD in Computer Science, Information Retrieval, AI, Machine Learning, NLP, or a related field preferred
8+ years of industry experience building production search, information retrieval, ranking, or recommendation systems
Publications at SIGIR, ACL, EMNLP, NeurIPS, ICLR, KDD, WWW, or equivalent venues
Strong production Python skills and experience with PyTorch, Hugging Face Transformers, and distributed model development
Hands-on production depth in search engine architecture, indexing systems, and ingestion pipelines
Hands-on production depth in ranking and re-ranking systems rather than solely consuming search technologies
Hands-on production depth in information retrieval, semantic retrieval, hybrid retrieval, and vector search architectures
Hands-on production depth in query understanding, relevance optimization, and search evaluation methodologies
Hands-on production depth in retrieval systems supporting large collections of text-rich content
Hands-on production depth in LLM-enhanced retrieval, RAG architectures, and retrieval optimization
Hands-on production depth in end-to-end measurement and evaluation of search quality and user outcomes
Experience with legal, regulatory, tax, scientific, or other text-heavy domains
Experience building retrieval systems over large enterprise knowledge repositories
Experience with Elasticsearch, OpenSearch, Solr, Vespa, or similar search technologies
Experience with API platform development and self-service search platforms
Experience with agentic AI systems that incorporate retrieval capabilities
Experience with AzureML or AWS SageMaker
Experience building systems that combine search, retrieval, and document understanding capabilities

Skills

Search and Information Retrieval Systems
Indexing
Retrieval
Ranking
Relevance Evaluation
Production Deployment
Semantic Retrieval
Hybrid Search
Retrieval Optimization
LLM-based approaches
Python
PyTorch
Hugging Face Transformers
Distributed Model Development
Vector Search
Query Understanding
RAG architectures
Elasticsearch
OpenSearch
Solr
Vespa

Location

US
Canada

Work Type

Remote
Hybrid
Onsite

Experience Level

8+ years of post-degree industry experience
Senior level

Education Level

PhD in Computer Science, Information Retrieval, Machine Learning, NLP, or a related field

Salary/Compensations

USD 147,600 - 274,200
CAD 140,000 - 175,000

Benefits

Flex My Way policies
Work from anywhere for up to 8 weeks per year
Continuous learning and skill development
Grow My Way programming
Skills-first approach
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
Two paid volunteer days off annually

About the Company

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
We help our 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.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. 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 also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.