Lead Applied Scientist, Search & Information Retrieval About the Role This role sits within the applied science function. You will own the design, development, and production deployment of large ...
Lead Applied Scientist, Search & Information Retrieval About the Role This role sits within the applied science function. You will own the design, development, and production deployment of large ...
Lead Applied Scientist, Search & Information Retrieval About the Role This role sits within the applied science function. You will own the design, development, and production deployment of large ...
Lead Applied Scientist, Search & Information Retrieval About the Role This role sits within the applied science function. You will own the design, development, and production deployment of large ...
Senior Applied Scientist, Search & Information Retrieval
Eagan, MN · Hybrid
$93K - $127K/yr
Senior Applied Scientist, Search & Information Retrieval About the Role This is an applied science position focused on building and deploying production-grade search systems that power Westlaw ...
Senior Applied Scientist, Search & Information Retrieval
Eagan, MN · Hybrid
$93K - $127K/yr
Senior Applied Scientist, Search & Information Retrieval About the Role This is an applied science position focused on building and deploying production-grade search systems that power Westlaw ...
Senior Applied Scientist, Search & Information Retrieval
Eagan, MN · On-site +1
$93K - $127K/yr
Senior Applied Scientist, Search & Information Retrieval About the Role This is an applied science position focused on building and deploying production-grade search systems that power Westlaw ...
Senior Applied Scientist, Search & Information Retrieval
Eagan, MN · On-site +1
$93K - $127K/yr
Senior Applied Scientist, Search & Information Retrieval About the Role This is an applied science position focused on building and deploying production-grade search systems that power Westlaw ...
Senior / Information Retrieval Engineer (AI/ML), Brand Concierge
San Jose, CA · On-site
$122K - $168K/yr
The Opportunity We are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems that power context-aware large language models (LLMs)
Senior / Information Retrieval Engineer (AI/ML), Brand Concierge
San Jose, CA · On-site
$122K - $168K/yr
The Opportunity We are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems that power context-aware large language models (LLMs)
Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval
Cupertino, CA · On-site
Minimum Qualifications 4+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding Deep understanding of information retrieval ...
Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval
Cupertino, CA · On-site
Minimum Qualifications 4+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding Deep understanding of information retrieval ...
Senior Software Engineer (Search / Retrieval)
$144K - $189K/yr
The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be ...
Senior Software Engineer (Search / Retrieval)
$144K - $189K/yr
The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be ...
Senior / Information Retrieval Engineer (AI/ML), Brand Concierge
San Jose, CA · On-site
$122K - $168K/yr
The Opportunity We are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems that power context-aware large language models (LLMs)
Senior / Information Retrieval Engineer (AI/ML), Brand Concierge
San Jose, CA · On-site
$122K - $168K/yr
The Opportunity We are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems that power context-aware large language models (LLMs)
Minimum Qualifications 4+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding Deep understanding of information retrieval ...
Minimum Qualifications 4+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding Deep understanding of information retrieval ...
Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval
Cupertino, CA · On-site
$181.10 - $318.40/hr
Deep understanding of information retrieval, semantic search, and query‑document matching * Strong hands‑on experience with LLM fine‑tuning, knowledge graph construction, and entity‑centric ...
Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval
Cupertino, CA · On-site
$181.10 - $318.40/hr
Deep understanding of information retrieval, semantic search, and query‑document matching * Strong hands‑on experience with LLM fine‑tuning, knowledge graph construction, and entity‑centric ...
Applied Scientist, Search & Information Retrieval
Frisco, TX · On-site
$120 - $150/hr
As a Senior Applied Scientist, you will lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You will translate ...
Applied Scientist, Search & Information Retrieval
Frisco, TX · On-site
$120 - $150/hr
As a Senior Applied Scientist, you will lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You will translate ...
2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning)
Seattle, WA · On-site
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling ...
2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning)
Seattle, WA · On-site
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling ...
Senior Software Engineer (Search / Retrieval)
Palo Alto, CA · On-site +1
$144K - $189K/yr
The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be ...
Senior Software Engineer (Search / Retrieval)
Palo Alto, CA · On-site +1
$144K - $189K/yr
The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be ...
Senior Software Engineer (Search / Retrieval)
Palo Alto, CA · On-site
$144K - $189K/yr
The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be ...
Senior Software Engineer (Search / Retrieval)
Palo Alto, CA · On-site
$144K - $189K/yr
The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be ...
Machine learning Engineer - Agentic Retrieval
San Jose, CA · On-site
$151.80 - $332.20/hr
Solid understanding of information retrieval fundamentals (inverted index, ranking, embeddings, hybrid retrieval). * Strong system design skills with the ability to reason about scale, reliability ...
Machine learning Engineer - Agentic Retrieval
San Jose, CA · On-site
$151.80 - $332.20/hr
Solid understanding of information retrieval fundamentals (inverted index, ranking, embeddings, hybrid retrieval). * Strong system design skills with the ability to reason about scale, reliability ...
Machine learning Engineer - Agentic Retrieval
Seattle, WA · On-site
$332K/yr
Solid understanding of information retrieval fundamentals (inverted index, ranking, embeddings, hybrid retrieval). * Strong system design skills with the ability to reason about scale, reliability ...
Machine learning Engineer - Agentic Retrieval
Seattle, WA · On-site
$332K/yr
Solid understanding of information retrieval fundamentals (inverted index, ranking, embeddings, hybrid retrieval). * Strong system design skills with the ability to reason about scale, reliability ...
Senior Staff Applied AI Engineer - Context Retrieval
Mountain View, CA · On-site
$123K - $169K/yr
If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate - and the agents on top of it - that make every Databricks ...
Senior Staff Applied AI Engineer - Context Retrieval
Mountain View, CA · On-site
$123K - $169K/yr
If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate - and the agents on top of it - that make every Databricks ...
AIML - Machine Learning Engineer, Answers, Knowledge & Information (AKI) (Santa Clara)
Santa Clara, CA · On-site
$139K - $258K/yr
We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing ...
AIML - Machine Learning Engineer, Answers, Knowledge & Information (AKI) (Santa Clara)
Santa Clara, CA · On-site
$139K - $258K/yr
We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing ...
Senior Staff Applied AI Engineer - Context Retrieval Databricks Mountain View, California; San [...]
Mountain View, CA · On-site
$229 - $343/hr
If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate - and the agents on top of it - that make every Databricks ...
Senior Staff Applied AI Engineer - Context Retrieval Databricks Mountain View, California; San [...]
Mountain View, CA · On-site
$229 - $343/hr
If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate - and the agents on top of it - that make every Databricks ...
... in information retrieval or applied ML. You've tuned relevance, deployed reranking strategies, and improved result quality in production, not just in experiments. • Understands the freshness ...
... in information retrieval or applied ML. You've tuned relevance, deployed reranking strategies, and improved result quality in production, not just in experiments. • Understands the freshness ...
Information Retrieval information
See salary details
$38.5K - $51.3K
15% of jobs
$51.3K - $64K
3% of jobs
$73.3K is the 25th percentile. Wages below this are outliers.
$64K - $76.8K
10% of jobs
$76.8K - $89.6K
12% of jobs
The median wage is $97.1K / yr.
$89.6K - $102.4K
18% of jobs
$102.4K - $115.1K
12% of jobs
$125.2K is the 75th percentile. Wages above this are outliers.
$115.1K - $127.9K
7% of jobs
$127.9K - $140.7K
7% of jobs
$140.7K - $153.5K
7% of jobs
$153.5K - $166.2K
6% of jobs
$166.2K - $179K
2% of jobs
$38.5K
$103.9K
$179K
How much do information retrieval jobs pay per year?
What is an information retrieval?
An Information Retrieval (IR) job involves designing and developing systems that efficiently find relevant information from large datasets. Professionals in this field work with search engines, databases, and algorithms to enhance information access and retrieval accuracy. They use techniques from machine learning, natural language processing, and data mining to improve search results. IR specialists are commonly employed in tech companies, academic institutions, and industries dealing with large-scale data processing. Their work helps optimize search experiences in applications like web search engines, recommendation systems, and enterprise data management.
What does an information retrieval specialist do?
As an Information Retrieval specialist, you may work on projects such as designing and improving search engines, developing algorithms to improve search relevance, or creating systems to organize and analyze large datasets. Daily tasks could include indexing unstructured data, implementing ranking models, tuning search performance, and collaborating with data scientists or software engineers to integrate retrieval solutions into larger applications. You might also analyze user search behavior to enhance the user experience. This role often involves both independent research and teamwork, offering opportunities to stay at the cutting edge of technology in fields like search technology and artificial intelligence.
What are the key skills and qualifications needed to thrive in information retrieval?
To thrive in Information Retrieval, you need a solid understanding of computer science principles, knowledge of search algorithms, data mining, and often a relevant degree in computer science or information science. Familiarity with tools such as Elasticsearch, Lucene, SQL, Python, and machine learning frameworks, as well as certifications in data science or information systems, are highly valuable. Analytical thinking, problem-solving abilities, and strong communication skills are essential soft skills for collaborating across technical and non-technical teams. These competencies ensure effective development and optimization of information retrieval systems, enabling organizations to efficiently extract and utilize valuable data.
What are the examples of information retrieval services?
What does information retrieval do?
What cities are hiring for Information Retrieval jobs?
Cities with the most Information Retrieval job openings:
What are the most commonly searched types of Information Retrieval jobs?
The most popular types of Information Retrieval jobs are:
What states have the most Information Retrieval jobs?
States with the most job openings for Information Retrieval jobs include:
What job categories do people searching Information Retrieval jobs look for?
The top searched job categories for Information Retrieval jobs are:
- Registered Health Information Administrator Rhia
- Cancer Information Management
- Information Management
- Freelance Regulatory Information Management
- Service Desk Manager
- Medical Records Release Of Information
- Part Time Rhit
- Health Information Management
- Health Information Management Analyst
- Drug Information Specialist

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 8 days ago
Thomson Reuters rating
8.9
Based on 22 frontline employees who took The Breakroom Quiz
33rd of 496 rated business services
Job description
About the Role
This role sits within the applied science function. You will own the design, development, and production deployment of large-scale search and information retrieval systems that power Westlaw, Practical Law, CoCounsel, and next-generation Thomson Reuters search experiences. The problems are real, the scale is large, and the expectation is shipped, reliable, measurable impact.
You will work across retrieval architectures, indexing pipelines, ranking and re-ranking systems, semantic retrieval, hybrid search, and retrieval optimization for complex legal, tax, and accounting content. Multiple product teams depend on what this function delivers.
About You
You hold a PhD in Computer Science, Information Retrieval, Machine Learning, NLP, or a related field, with 8+ years of post-degree industry experience building and deploying search and retrieval systems at scale. You have hands-on depth across indexing, retrieval, ranking, relevance evaluation, and production deployment.
You publish, you mentor, and you measure success by what ships and performs in production. You understand search beyond simply consuming vector databases or retrieval APIs. You have built, optimized, and evaluated search systems that solve real user problems.
What You'll Do
- 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
- 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
- Search engine architecture, indexing systems, and ingestion pipelines
- Ranking and re-ranking systems rather than solely consuming search technologies
- Information retrieval, semantic retrieval, hybrid retrieval, and vector search architectures
- Query understanding, relevance optimization, and search evaluation methodologies
- Retrieval systems supporting large collections of text-rich content
- LLM-enhanced retrieval, RAG architectures, and retrieval optimization
- End-to-end measurement and evaluation of search quality and user outcomes
- Experience with legal, regulatory, tax, scientific, or other text-heavy domains
- Building retrieval systems over large enterprise knowledge repositories
- Experience with Elasticsearch, OpenSearch, Solr, Vespa, or similar search technologies
- API platform development and self-service search platforms
- Agentic AI systems that incorporate retrieval capabilities
- AzureML or AWS SageMaker
- Experience building systems that combine search, retrieval, and document understanding capabilities
#LI-SM2
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
What's in it For You?
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its 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.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $147,600 USD - $274,200 USD.For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
This job posting will close 10/31/2026.
About Us
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. Sound exciting? Join us and help shape the industries that move society forward.
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. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com
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