• RAG pipeline & AI: Architect and develop the server-side RAG pipeline, covering query processing, embeddings and vector search through to prompt construction. • Full-stack development: Build both frontend and backend, ensuring that all LLM API calls are strictly handled server-side. • Subscriptions & payments: Implement a three-tier subscription model including a 7-day trial using Stripe. • Automation (Data Ingestion): Create a pipeline (e.g., using Make.com or n8n) that automatically transcribes new audio and video content (Whisper API), cleans it, splits it into chunks, and loads it into the vector database. • Data Intelligence: Develop an internal behavioral analytics dashboard that tracks search queries, emotional tone, content gaps, and usage-limit events in real time.

• Obsess over the details and applying first principle mindset to address challenges. • Understand business needs and build end-to-end product experiences. • Solve product problems and build delightful user experiences for our users. • Contribute to building and scaling infrastructure. • Develop and continually improve observability of activity and infra at scale. • Continually challenge status quo and existing solutions to improve scalability & efficiency • Partner closely with other engineers and scientists to build highly scalable, ML driven system(s), help run experiments, and surface insights across all points of customer interactions • Resolve problems and provide daily troubleshooting, analysis, and problem definition for production issues.

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is seeking scientists with a passion for solving problems using state-of-the-art natural language processing, information retrieval, and generative AI. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in natural language processing and informational retrieval. We innovate collaboratively with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team in Labs Legal Tech is designing the next generation of Legal Technology globally. We drive AI innovation for Thomson Reuters’ LegalTech Products and features, including CoCounsel Core, CoCounsel Drafting, Practical Law, HighQ, Legal Tracker, Document Intelligence, Contract Express, Due Diligence, and others. About the Role Senior Applied Scientists are experts in NLP / IR / ML / GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As a Senior Applied Scientist, you will: - Lead an applied research team throughout the full product development life cycle from ideation and PoC through to production scaling and feedback driven iteration. - Be fully accountable for all research deliverables in your projects, - Provide input to the business and Labs leadership on long-term AI strategy, - Lead and drive stakeholder engagement with other functions (Product, Engineering, Design), - Develop in-depth knowledge of customer problems and data, - Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property, - Identify state of the art technology relevant to TR products and leverage them to create value for TR customers, - Mentor and coach scientists and engineers on best practices and fostering a culture of innovation, collaboration and continuous learning. About You You’re a potential fit for the role of Senior Applied Scientist if your background includes: - PhD in a relevant discipline or master’s plus a comparable level of experience, - 5+ years of hands-on experience building NLP / IR systems for commercial applications, - Experience writing production code and ensuring well-managed software delivery, - Demonstrable experience translating complex problems into successful AI applications, - Professional experience scaling yourself and leading through others, in an applied research setting, - Outstanding communication, problem-solving, and analysis skills, - Experience collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Technical qualifications: - Solid understanding of classic ML techniques used for NLP problems, - Solid understanding of DL approaches used for NLP tasks such as transformer-based models, - Working understanding of inner workings of large language models, - Experience working on text heavy NLP projects, - Practical experience using generative AI technologies (prompt engineering, in-context learning, chain-of-thoughts, prompt optimization, auto-evaluation, function calling, controlled generation, etc.) - Practical experience using RAG frameworks, pre-training/fine-tuning language models, and data curation/generation for training/fine-tuning language models, - Practical experience using agentic frameworks (such as LangGraph, AutoGen, Semantic Kernel, etc.) for building applications, - Proficiency in Python, Git, AWS, Azure for remote model development and deployment, - Experience building lightweight UIs, iterating on greenfield concepts, applying agile development practices and rapid prototyping. Preferred qualifications: - Prior work on search and question answering from large corpora and/or long document summarization, - Experience building applications for the legal domain, such as document review or document drafting, - Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD or similar conferences and venues. #LI-MW1 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 $127,400 USD - $236,600 USD. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 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 06/25/2026. 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. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com

Requisition Number: 2345321 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum Insight partners with payers, providers, governments and life sciences companies to simplify and enhance clinical, administrative and financial processes through software-enabled services and analytics, while advancing value-based care. Our differentiated products, technology insights, clinical expertise and analytics support the entire health system - ultimately delivering better experiences for consumers. Optum Insight Technology and Engineering is a critical function in Optum Insight driving the innovation and value we provide our customers and partners. This team is focused on products, solutions, platform / enabling capability development, product development lifecycle, engineering excellence and connectivity to Optum Technology. The Clinical Decision Support (CDS) Engineering team, a unit within the Optum Insight Technology organization is responsible for building commercial products helping payers and providers with administrative and clinician focused CDS solutions. We are seeking a lead AI/ML engineer who can bring deep expertise across the full development lifecycle of machine learning and generative AI-based solutions from design to development to MLOps. CDS is an area that truly touches payers, providers, as well as members and one where you can have a huge impact on improving the healthcare system for everyone. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design and implement analytics or AI/ML solutions to automate prior authorization and utilization management workflows - Collaborate with business and operations teams to translate complex requirements into actionable AI solutions, and clearly communicate insights to leadership and stakeholders - Design, train, deploy and iterate ML models in production using techniques such as generative AI/LLMs, NLP/NLU, computer vision and deep learning - Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently - Apply advanced methodologies in statistics, optimization, probability theory and machine learning to build tools, perform rigorous analysis and deliver robust solutions using Python or similar languages - Partner with engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products - Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects - Stay current on GenAI advances and apply them pragmatically to improve outcomes You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in Computer Science or related field - 5+ years of professional experience building software-heavy ML systems using Python - 2+ years of experience and proven track record of developing and deploying AI/ML models in cloud environments like AWS, Azure, or GCP (Azure preferred) - Solid software engineering fundamentals (data structures, system design and development), and data engineering experience-particularly with large-scale data processing - Experience working with unstructured text at scale (e.g., clinical notes, documents, policies or similar natural-language-heavy domains) - Demonstrate the ability to independently initiate and drive projects from conception through completion Preferred Qualifications: - Experience with AI/ML frameworks like TensorFlow and PyTorch - Demonstrated experience with GenAI agent frameworks like LangChain, LangGraph or Semantic Kernel - Familiarity with LLM evaluation techniques (offline and online) and strategies to monitor model behavior post-deployment - Development experience in the healthcare sector - Solid understanding of modern sequence modeling, including hands-on fine-tuning of transformer-based models; maintaining or migrating legacy architectures; and familiarity with newer alternatives (e.g., state space models such as Mamba), including when to pretrain from scratch vs. adapt existing foundations - Solid communication skills, with the ability to explain complex technical concepts to diverse audiences *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.