Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in the USA is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing 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 informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters' Core Research Products, including Westlaw, Practical Law, and Checkpoint.About the RoleLead Applied Scientists are experts in Machine Learning / NLP, 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 Lead Applied Scientist, you will:* Innovate and drive solution delivery as a technical leader* Be fully accountable for all research deliverables* Provide input to the business and Labs leadership on long term AI strategy.* Lead and drive stakeholder engagement with other functions (UX, Product, Tech)* 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.* Mentor and coach other scientists and engineers on best practicesAbout YouYou're a fit for the role of Lead Applied Scientist if your background includes:* PhD in a relevant discipline or Master's plus a comparable level of experience* 7+ years hands-on experience building IR / NLP 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* Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback* Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD. (Preferred)#LI-MW1What's in it For You?You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:* Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.* Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.* Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters caf networking.* Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.* Purpose Driven Work: We have a superpower that we've never talked about with as much pride as we should - we are one of the only companies on the planet 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.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 location(s) for this role include one or more of the following metro locations: Los Angeles, New York City, San Francisco, Washington, DC. The base compensation range for the role in any of those locations is $151,700 - $281,700. The location(s) for this role include one or more of the following states: CA, CO, CT, IL, NV, TX, WA and/or remote. The base compensation range for the role in any of those locations is $137,900 - $256,100. The base compensation range in other locations may vary. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. 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 job posting will close 11/11/2024.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services - Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.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 that celebrate diversity and inclusion. 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.AccessibilityAs a global business, we rely on diversity of culture and thought to deliver on our 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/Affirmative Action 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.Protect yourself from fraudulent job postings click here to know more.More information about Thomson Reuters can be found on https://thomsonreuters.com.

<div>
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in the USA is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.
About the Role
Lead Applied Scientists are experts in Machine Learning / NLP, 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 Lead Applied Scientist, you will:
<ul>
<li>Innovate and drive solution delivery as a technical leader</li>
<li>Be fully accountable for all research deliverables</li>
<li>Provide input to the business and Labs leadership on long term AI strategy.</li>
<li>Lead and drive stakeholder engagement with other functions (UX, Product, Tech)</li>
<li>Develop in-depth knowledge of customer problems and data</li>
<li>Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property.</li>
<li>Mentor and coach other scientists and engineers on best practices</li>
</ul>
About You
You’re a fit for the role of Lead Applied Scientist if your background includes:
<ul>
<li>PhD in a relevant discipline or Master’s plus a comparable level of experience</li>
<li>7+ years hands-on experience building IR / NLP systems for commercial applications</li>
<li>Experience writing production code and ensuring well-managed software delivery</li>
<li>Demonstrable experience translating complex problems into successful AI applications</li>
<li>Professional experience scaling yourself and leading through others, in an applied research setting</li>
<li>Outstanding communication, problem solving, and analysis skills</li>
<li>Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback</li>
<li>Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD. (Preferred)</li>
</ul>
What's in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
<ul>
<li>Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance.</li>
<li>Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion.</li>
<li>Learning & Development: LinkedIn Learning access; internal Talent Marketplace.</li>
<li>Social Impact: Employee-driven Business Resource Groups; paid volunteer days.</li>
<li>Purpose Driven Work: We help uphold the rule of law and provide trusted, unbiased information.</li>
</ul>
In the United States, Thomson Reuters offers a comprehensive benefits package including health, dental, vision, disability, and life insurance programs. The base compensation range for the role in specified locations is $151,700 - $281,700, and may vary in other locations. This role may also be eligible for an Annual Bonus based on performance.
This job posting will close 12/12/2024.
Do you want to be part of a team helping re-invent the way knowledge professionals work? At Thomson Reuters, we’ve been doing just that for almost 160 years.
Accessibility
Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities.
Protect yourself from fraudulent job postings click here to know more.
More information about Thomson Reuters can be found on https://thomsonreuters.com.
</div>
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Posting TypeHybrid, RemoteJob OverviewEvery year, the global justice system benefits from the insights of Relativity AI on billions of documents- and we are just getting started on our journey to use AI to improve each user experience, product, legal matter, and investigation at Relativity. We are focused on helping our users discover the truth more quickly, organize their data, and act on it with confidence.Relativity has established a set of AI Principles to guide product development and underscore their commitment to developing responsible AI. These principles include building AI with purpose that delivers value for customers, empowering customers with clarity and control, ensuring fairness in AI development, championing privacy, placing the security of customers' data at the heart of everything they do, and acting with a high standard of accountability.As a team, we believe in exploration, experimentation, and bringing your curiosity to work every day. We know that you can't innovate without experimentation - and a little failure happens on the path to invention. We use the latest and greatest to ensure we are the best. We experiment, ship, and learn every day.About The AI Team At RelativityRelativity is heavily invested in developing new AI products and features for our customers. Our team spans across many teams and functions across Relativity Engineering, including our data engineering team, ML Ops team, applied science team, and product-focused feature teams for our RelOne AI suite of products.About The Senior Applied Scientist, Generative AI RoleThe Senior Applied Scientist, Generative AI will develop generative and machine-learning products for the eDiscovery industry in close collaboration with their applied science, product, design, and engineering team. You will use your experience in applied science to build models that help legal professionals organize data, discover the truth, and act on it. Relativity is the recognized leader of AI in eDiscovery, as well as the builder of the market's leading product, Relativity One. As a Senior Applied Scientist, you will contribute to our balanced portfolio of research, development, and operation of transformational generative AI technologies according to the responsible AI approach laid out by our AI Principles.Job Description and RequirementsResponsibilities<ul><li>Develop machine-learning models and algorithms to be released as new product features.</li><li>Collaborate with engineers to develop production-level code and contribute to the entire model deployment lifecycle.</li><li>Contribute to developing internal standards, processes and tooling for leveraging generative AI.</li><li>Collaborate with Product to assemble and synthesize datasets for evaluation and model-building.</li></ul>Minimum Qualifications<ul><li>A Master's Degree in Computer Science, or a quantitative discipline, AND 2 years of relevant industry experience OR a Ph.D. in Computer Science or a quantitative discipline OR the equivalent of 5 years of relevant academic/industry experience.</li><li>Experience in building search solutions at the scale of hundreds of millions of documents.</li><li>Experience with generative AI models and leveraging them as part of more complex systems to solve domain-specific tasks.</li><li>Experience in the full model development lifecycle.</li><li>Legal industry experience, or interest in the legal industry and justice system.</li></ul>Preferred Qualifications<ul><li>Experience in building and deploying models leveraging large language models.</li><li>Proficient in programming and scripting in a language such as Python.</li><li>Experience in Kubernetes container-based development tooling and processes.</li><li>Comfortable with command-line tools in UNIX environments.</li><li>Intentional communicator - uses inclusive language whenever possible, communicates data science concepts to colleagues of all backgrounds, uses technical vocabulary judiciously and with intention.</li></ul>Relativity is committed to competitive, fair, and equitable compensation practices.This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.The expected salary range for this role is between $146,000 and $218,000.The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
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