Seeking senior/staff engineers to join the GenAI Search Platform team to improve search-based question answering systems using both traditional machine learning and cutting-edge generative AI technologies.
Compensation
For positions in this location, we offer a base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Architect powerful, elegant abstractions to enable ranking and product teams to contribute safely and easily to the codebase.
Develop algorithm frameworks to support diverse conversational search applications such as multi-turn multi-hop question answering systems.
Drive the development of our search platform with new LLM-enabled generative AI features in a fast-paced environment.
Develop systematic evaluation metrics and methodology for our search models, leveraging LLMs to address unique challenges in the enterprise such as security and privacy.
Build a high-performing team with an inclusive and positive team culture.
Requirements
Nice to have: large language models (LLMs)
Nice to have: retrieval augmented generation (RAG)
The US base salary range for this full-time position is $147,000- $211,000 + 15% bonus target + equity + benefits determined by role, level, and location.
Responsibilities
Write software product or system code.
Design software modules and participate in design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Participate in software testing, e.g. develop unit tests and release tests.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback; and Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field
Technical leader responsible for advancing the long-term direction of search and discovery capabilities across the audio ecosystem, focusing on retrieval, ranking, query understanding, and AI-powered search.
Responsibilities
Lead the design, development, and evolution of advanced machine learning systems supporting search relevance, retrieval, ranking, query understanding, and personalization.
Define technical approaches and drive execution for highly complex search and discovery initiatives.
Develop and improve transformer-based, deep learning, semantic retrieval, and generative AI solutions.
Establish and refine methodologies for search evaluation, experimentation, offline relevance measurement, and online testing.
Partner closely with Product, Engineering, Data Science, Analytics, and Content teams.
Requirements
M.S. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, or a related quantitative field required
Lead strategy, roadmap, and execution for Agentic Search products, driving search quality, scaling AI Search, shaping Web Search API, and partnering across engineering, ML, product, and business teams.
Locations (5)
Austin, Texas, United States
Lisbon, Lisbon District, Portugal
San Francisco, California, United States
NYC, New York, United States
London, England, United Kingdom
Compensation
Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000. For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000. For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000.
Data Systems AI / ML Engineer
Oak Ridge National Laboratory · Posted Nov 8, 2026
The role involves developing AI-driven methods, LLM-based conversational interfaces, and retrieval systems to improve the discovery and usability of atmospheric data.
Responsibilities
Research, develop, and deploy AI/ML methods, including LLM-based conversational interfaces and retrieval systems, that improve discovery and usability of ARM data.
Build and maintain training and evaluation datasets derived from ARM metadata records.
Work with data scientists, database engineers, software engineers, and DevOps engineers to take systems from prototype to production.
Support researchers and developers in creating tools for the ARM Data Center.
Grow into a leadership role in AI/ML engineering for the group, demonstrated through deliverables to sponsors, platform development, technical presentations and demonstrations, and, where appropriate, inventions, patents, or copyrights.
Develop a comprehensive, searchable reference guide of ASC 606 revenue recognition analyses and conclusions, leveraging AI tools for search and summarization.
Responsibilities
Review existing ASC 606 analyses, contract documentation, and accounting conclusions to identify recurring fact patterns and key accounting considerations.
Develop a consistent framework for categorizing, summarizing, and organizing prior accounting conclusions, including supporting rationale and source documentation.
Build a user-friendly, searchable reference guide that allows teams to quickly locate relevant precedent analyses.
Evaluate opportunities to incorporate AI-enabled search and summarization capabilities to improve research and information retrieval.
Partner with accounting and cross-functional stakeholders to ensure the reference guide is accurate, practical, and easy to navigate.
Responsible for the technical architecture, engineering, and ongoing operation of Pillsbury’s legal knowledge layer, including the Enterprise Knowledge Platform and its supporting tools and integrations.
Compensation
The expected salary range for this position is $200,000- $250,000.
Responsibilities
Own the firm-side technical architecture and delivery of the Enterprise Knowledge Platform and associated tools
Lead platform evaluation, configuration, technical backlog, release validation, and production performance
Own the technical relationship with the selected platform provider
Diagnose issues, review vendor designs, manage escalations, and validate capabilities
Maintain architecture diagrams, version-controlled code and configuration, operating procedures, and monitoring
Requirements
Bachelor’s degree in Computer Science, Information Technology, Business, Analytics, or a related field
Nice to have: hands-on ability to build and maintain integrations or automation using APIs and a scripting or programming language
Nice to have: practical understanding of how document ingestion, metadata, and indexing make content usable in search and downstream applications
Nice to have: experience implementing access controls for sensitive enterprise information
The MLIS Student supports the delivery of library and information services to Health Unit staff and clients, providing practical learning opportunities in library operations, reference support, information management, and digital institutional archive creation.
Compensation
The hourly rate for this position is $23.00 hourly.
Responsibilities
Supports the development of the MLHU’s digital institutional archive (DIA)
Assists with the identification, review, and organization of physical and digital records for inclusion in the DIA
Participates in the digitization, processing, organization, description, and uploading of archival materials
Assists in developing and applying metadata structures, descriptive practices, and documentation standards
Assists in preparing job aids, inventories, descriptive records, and other tools
Requirements
Currently enrolled in the Master of Library and Information Science (MLIS) program at Western University
Software Engineer III, Core Data (multiple openings)NewGoogle · Madison, US
Senior Staff Machine Learning Scientist, SearchSiriusXM · Dublin, Ireland
Senior Product Manager, Agentic SearchCloudflare · Austin, US+4 more
Data Systems AI / ML EngineerOak Ridge National Laboratory · Oak Ridge, US
Senior Machine Learning Engineer, Agentic Context Retrieval and Search (Nova)Iterable · Remote, US
Senior AI Data EngineerEncora · Remote, Costa Rica+3 more
Master of Library Information Science StudentMiddlesex-London Health Unit · London, Canada