Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in  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.

About the Role

Senior 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  Senior Applied Scientist , you will:
Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.

Operate in an agile way, pushing for quick iterations guided by customers' needs.

Be accountable for all research deliverables on small to medium sized projects.

Communicate research in peer-reviewed publications and develop patentable ideas ensuring competitiveness of the company's products and services.

Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.

Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.

About You
You're a 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 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.

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.

(Preferred) Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

What's in it For You?
Wellbeing:  Comprehensive benefit plans; flexible and supportive benefits for work-life balance.

Culture:  Globally recognized and award-winning reputation for equality, diversity, and inclusion.

Learning & Development:  LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.

Social Impact:  Ten employee-driven Business Resource Groups; two paid volunteer days annually.

Purpose Driven Work:  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.

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? 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.

Accessibility
As 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.

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<h3>Applied Scientist, PSSL, People eXperience Technology Central Science (PXTCS) </h3>Job ID: 2843699 | Amazon.com Services LLC Do you want to use your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If you do, People eXperience Technology Central Science (PXTCS) would love to talk to you about how to make that a reality. PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that both improve Amazonian’s wellbeing and their ability to deliver value for Amazon’s customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world. As an applied scientist on our team, you will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, economists, and engineers on the design, development, testing, and deployment of scalable ML and econometric models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength. Key job responsibilities As an Applied Scientist, ML Applications, you will: <ol><li>Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers </li><li>Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. </li><li>Partner with the engineering team to deploy your models in production. </li><li>Partner with scientists from across PXTCS to solve complex problems and use your team’s expertise to accelerate their ability to get their work into production. </li><li>Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them. </li> </ol><h3>BASIC QUALIFICATIONS </h3>- Master's Degree in machine learning, recommender systems, statistics, computer science, operations research, or other highly relevant field - Three or more years’ experience applying ML to solve complex problems for large-scale applications - One or more years of experience specifically with deep learning (e.g., CNN, RNN, LSTM) - Experience in using Python or other programming languages <h3>PREFERRED QUALIFICATIONS </h3>- Ph.D. in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a closely related field. - Experience delivering as part of cross-disciplinary teams. - Hands-on experience developing ML models with deep learning frameworks and building production pipelines on the cloud. - Strong communication and presentation skills. - Comfortable working in a fast-paced, highly collaborative, dynamic work environment. - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - Experience with generative AI. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in 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.About the RoleSenior 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 Senior Applied Scientist, you will:* Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.* Operate in an agile way, pushing for quick iterations guided by customers' needs.* Be accountable for all research deliverables on small to medium sized projects* Communicate research in peer reviewed publications and develop patentable ideas ensuring competitiveness of the company's products and services.* Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.* Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.About YouYou're a 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 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* 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* (Preferred) Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.#LI-LP2What'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 $123,200 - $228,800. 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 $112,000 - $208,000. The location(s) for this role include one or more of the following states: KS, MI, MN, NY, VA. The base compensation range for the role in any of those locations is $106,400 - $197,600. 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 12/12/2024.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.

Posting Type Hybrid, Remote Job Overview Every 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 Relativity Relativity 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 Role The 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 Requirements Responsibilities <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. #J-18808-Ljbffr

Posting Type
Hybrid, Remote
Job Overview
Every 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 Relativity
Relativity 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 Role
The 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 Requirements
Responsibilities
Develop machine-learning models and algorithms to be released as new product features.
Collaborate with engineers to develop production-level code and contribute to the entire model deployment lifecycle.
Contribute to developing internal standards, processes and tooling for leveraging generative AI.
Collaborate with Product to assemble and synthesize datasets for evaluation and model-building.
Minimum Qualifications
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.
Experience in building search solutions at the scale of hundreds of millions of documents.
Experience with generative AI models and leveraging them as part of more complex systems to solve domain-specific tasks.
Experience in the full model development lifecycle.
Legal industry experience, or interest in the legal industry and justice system.
Preferred Qualifications
Experience in building and deploying models leveraging large language models.
Proficient in programming and scripting in a language such as Python.
Experience in Kubernetes container-based development tooling and processes.
Comfortable with command-line tools in UNIX environments.
Intentional communicator - uses inclusive language whenever possible, communicates data science concepts to colleagues of all backgrounds, uses technical vocabulary judiciously and with intention.
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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<h3>Applied Scientist, ML Applications, People eXperience Technology Central Science (PXTCS) </h3>Job ID: 2839739 | Amazon.com Services LLC Do you want to use your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If you do, People eXperience Technology Central Science (PXTCS) would love to talk to you about how to make that a reality. PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that both improve Amazonian’s wellbeing and their ability to deliver value for Amazon’s customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world. As an applied scientist on our team, you will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, economists, and engineers on the design, development, testing, and deployment of scalable ML and econometric models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength. Key job responsibilities As an Applied Scientist, ML Applications, you will: <ol><li>Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers </li><li>Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. </li><li>Partner with the engineering team to deploy your models in production. </li><li>Partner with scientists from across PXTCS to solve complex problems and use your team’s expertise to accelerate their ability get their work into production. </li><li>Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them. </li> </ol><h3>BASIC QUALIFICATIONS </h3>- Master's Degree in machine learning, recommender systems, statistics, computer science, operations research, or other highly relevant field - Three or more years’ experience applying ML to solve complex problems for large-scale applications - One or more years of experience specifically with deep learning (e.g., CNN, RNN, LSTM) - Experience in using Python or other programming languages <h3>PREFERRED QUALIFICATIONS </h3>- Ph.D. in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a closely related field. - Experience delivering as part of cross-disciplinary teams. - Hands on experience developing ML models with deep learning frameworks and building production pipelines on the cloud. - Strong communication and presentation skills. - Comfortable working in a fast paced, highly collaborative, dynamic work environment. - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - Experience with generative AI. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

A/B Testing is Dead. Make the leap from A/B to AI. OfferFit’s Automated Experimentation Platform is the fastest, most scalable way to accelerate testing and learning. Automatically discover the right message, creative, incentive, channel, and timing for every customer to unlock the full value of your customer data.Join our team!Join OfferFit’s fast-paced, supportive, and professional team! We empower all of our team members and provide great mentorship and coaching. You will have the ability to learn and develop your career under an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team with a dedication to creating a strong culture (e.g., employee resource groups, weekly employee recognitions, major life event celebrations).<h3>Benefits and Perks:</h3><ul><li>Generous PTO policy (starting at 25 days PTO per year)</li><li>100% remote work environment with flexible hours</li><li>Quarterly gatherings where we meet in person in a different city to work together, bond as a team, and celebrate our progress (past gathering locations include Denver, Austin, Chicago, Mexico City, and Salt Lake City)</li><li>Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health “barometer” meetings)</li></ul>Check out some of our customers and use cases!
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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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Applied Scientist Jobs in Chicago, IL

Senior Applied ScientistDecember 15, 2024

Applied Scientist Pssl People Experience Technology Central Science PxtcsDecember 12, 2024

Senior Applied ScientistDecember 11, 2024

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Quick filters

Top companies

Senior Applied Scientist
December 15, 2024

Applied Scientist Pssl People Experience Technology Central Science Pxtcs
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