nlp scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability &amp; fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations.<br>
<br>
As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree</li><li>1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters&rsquo; degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields.</li><li>Should be an expert in either Computer Vision or NLP and have a good understanding of the both.</li><li>Excellent communication skills</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision.</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.</li><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity.</li><li>Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist II, RBS Tech

Microsoft

<div><b>Overview</b><div><p><br>
Are you looking to work on cutting-edge large-scale AI services that can power the next-gen AI search? Are you passionate about Deep Learning and latest AI technologies light up those scenarios?</p><p>
Our team uses latest NLP deep learnt models to prepare Grounding data for AI search efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team.</p><p>
We are looking for a <b>Applied Scientist II </b>who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works.</p><p>
As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office.</p><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><p>
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p></div><b><br>
Responsibilities</b><div><p><br>
We are looking for a motivated, self-driven <b>Applied Scientist II </b>to join our mission. Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLP related engineering problems.</p><p>
Your responsibilities include:</p><ul><li>
Developing novel machine learning and data mining algorithms.</li><li>
Designing and developing solutions that respond in real time.</li><li>
Build data quality checks and re-usable modules for the training.</li><li>
Host ML models with production-ready code.</li><li>
Designing and executing offline/online experiments.</li><li>
Advancing the state of the art of NLP technologies for real world scenarios.</li><li>
Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.</li></ul></div><br>
<b>
Qualifications</b><ul><li><p><b><br>
Required Qualifications:
</b></p><ul><li>Master&rsquo;s/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining.</li><li>
3-6 years of professional experience applying Deep learning, Machine Learning concepts in real world applications.</li><li>
Excited to work as part of diverse team and collaborate across geographies.</li><li>
Outstanding communication and collaboration skills.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Strong research and/or development experience with machine learning, NLP and data mining.</li><li>
Experience in architecting, developing, and delivering advanced NLP projects is a strong plus.</li><li>
Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.</li><li>
Fantastic problem solver: ability to solve problems that the world has not solved before.</li><li>
Proven track record on shipping products/services with high quality.</li></ul></li></ul><br>
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<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Applied Scientist II

Target

<div>The pay range is $98,000.00 - $211,000.00<p></p><p>
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.</p><p></p><p><b>
JOIN TARGET AS A SR DATA SCIENTIST &ndash; SEARCH (NLP, APPLIED ML)</b></p><p></p><p><b>
About us:</b></p><p>
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.</p><p></p><p>
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data to automate and optimize decisions at scale. Whether you join our Data Sciences or Machine Learning teams, you&rsquo;ll be challenged to harness Target&rsquo;s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain, Demand Forecasting, Search and Personalization rely on.</p><p></p><p><br>
Every Data Scientist on Target&rsquo;s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance to elevate Target&rsquo;s culture and apply retail domain knowledge.</p><p></p><p>
The Target Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target&rsquo;s digital experience. As a Sr Data Scientist on this team &ndash; you&rsquo;ll work with business partners to provide solutions for business problems in a fast-paced and global environment. You&rsquo;ll have the opportunity to design quality, flexible and performant Data Science systems and services at scale. You&rsquo;ll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry. We&rsquo;ll also promote innovative thinking as well as the opportunity to utilize cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target!</p><p></p><p>
As a Sr Data Scientist, you will influence by interacting within the Data Sciences team and with Product teams, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences&rsquo; and Target&rsquo;s culture by modeling the culture. Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications, while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable &amp; tested codebase with relevant documentation.</p><p></p><p>
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.</p><p></p><p><b>
About you:</b></p><ul><li>
PhD or MS in Computer Science, Information Technology, Applied Mathematics, Physics or relevant industry work experience in a quantitative field</li><li>
Exceptional coding/programming in Python or Java with advanced technical problem-solving skills</li><li>
3 plus year of experience implementing end to end ML models and algorithms into production</li><li>
Demonstrated experience implementing search indexing, ranking, information retrieval, query understanding or recommendation / recommender systems</li><li>
Experience deploying Machine Learning algorithms into production environments</li><li>
Experience with ML Ops (VetexAI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes, etc.)</li><li>
Experience querying large databases with SQL, HQL or some variations</li><li>
Excellent interpersonal and communication skills that can partner with a global teams</li><li>
Constant learner mentality that stays on the leading edge of search, query understanding, applied ML, LLM&rsquo;s and NLP advancements</li></ul><p>
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target&rsquo;s needs. A Hybrid/Flex for Your Day work arrangement means the team member&rsquo;s core role will need to be performed both onsite at the Target HQ Sunnyvale or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota</p><p></p>
Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.<p></p><p><b>
Benefits Eligibility</b></p>
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D<p></p><p><b>
Americans with Disabilities Act (ADA)</b></p><p></p><p>
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.</p><p></p>
Application deadline is : 03/29/2026</div>

Sr Applied Data Scientist - Search (NLP, Query Understanding, LLM's)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability &amp; fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations.<br>
<br>
As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will independently file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree</li><li>2+ years of relevant applied science research experience with a Masters&rsquo; degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields.</li><li>Excellent communication skills</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Have publications at top-tier peer-reviewed conferences or journals</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.</li><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity.</li><li>Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist, RBS Tech

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist.<br>
<br>
At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products.
<br>
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As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon&rsquo;s global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe, Japan, China, Australia, and other regions.
<br>
<br>
Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.<br>
<br>
Please visit https://www.amazon.science for more information<br>
<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.</li><li>Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.</li><li>Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.</li><li>Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.</li><li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF</li><li>Experience in NLP, generative AI, LLM, or DL, RL.</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist - II, Intl Seller Growth

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you interested in working in the exciting space of Generative Artificial Intelligence (GenAI) to build Agents that will test Amazon product experience and inform how teams across Amazon think about designing world-class products? Amazon is looking for an experienced, talented, and highly motivated Research Scientist to join our Customer Experience and Business Trends (CXBT) team.
<br>
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The right candidate has an unrelenting tenacity to drive business impact, strong communication skills, ability to influence through data, and is capable of breaking down and solving complex and ambiguous problems.<br>
<br>
As a Research Scientist, you have expertise in research design best practices and identifying the appropriate research methodology based on the defined business objectives. You are a self-starter who thrives in ambiguity and can creatively solve problems. You have excellent business judgment and operate with a strong sense of urgency and commitment. You will have the ability to work with and influence businesses in a global setting and drive strategic change across Amazon.
<br>
<br>
You will be responsible for delivering innovative GenAI products utilizing Agents, and developing and launching novel ways to create datasets that will monitor Amazon's performance across multiple modalities (e.g., speech, text, image, video, audio) based on Amazon's breadth of product offerings. You will work closely with product managers and engineers to develop new methodologies utilizing GenAI technologies and Natural Language Processing (NLP).
<br>
<br>
We are looking for a passionate, talented, and inventive Sr. Research Scientist with a background in Machine Learning (ML) and Large Language Models (LLMs) to help build industry-leading GenAI Agent and Data Generation technology.<br>
<br>
Key job responsibilities<br>
<ul><li>Work with talented peers to develop novel algorithms and modeling techniques to drive the state of the art in speech synthesis.</li><li>Participate in the design, development, evaluation, deployment and updating of data-driven models for GenAI agents and data set generation applications.</li><li>Participate in research activities including the application and evaluation of Agent techniques for novel applications.</li><li>Research and implement novel ML and statistical approaches to add value to the business.</li><li>Mentor junior engineers and scientists.</li><li>Build strategic relationships with stakeholders at multiple levels of the organization.</li><li>Partner with team members including engineering, product managers, data science, and business intelligence engineers to inform solution design and ensure study success.</li><li>Contribute to a team culture of experimentation and innovation.</li></ul><br>
About the team<br>
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings - for almost every business at Amazon &ndash; for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).<br>
<br>
Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds - including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of quantitative field research experience</li><li>Experience investigating the feasibility of applying scientific principles and concepts to business problems and products</li><li>Experience analyzing both experimental and observational data sets</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of R, MATLAB, Python or similar scripting language</li><li>Experience with agile development</li><li>Experience building web based dashboards using common frameworks</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Research Scientist, Customer Experience and Business Trends

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Customer Experience and Business Trends (CXBT) is looking for an Applied Scientist to join their team. CXBT's mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.<br>
<br>
The ideal candidate will have expertise in Large Language Models (LLMs), speech, audio, Natural Language processing (NLP) or multimodal learning to pioneer innovations in data simulation, representation, generation, reasoning, retrieval, and evaluation.<br>
<br>
Key job responsibilities<br>
<ul><li>Build scalable solutions for real-time conversational experiences, including multilingual support, customizable personalities, and conversational turn-taking.</li><li>Develop data simulation approaches that mimic real-world speech interactions.</li><li>Research and implement novel algorithms and modeling techniques.</li><li>Acquire and curate diverse datasets while ensuring user privacy.</li><li>Create robust evaluation metrics and test sets to assess language model performance.</li><li>Integrate human feedback to improve data selection and model performance.</li><li>Innovate in data representation and model training techniques.</li><li>Apply responsible AI practices throughout the development process.</li></ul><br>
A day in the life<br>
Our team is dedicated to improving Amazon's products and services through evaluation of the end-to-end customer experience using both internal and external processes and technology. Our mission is to deeply understand our customers' experiences, challenge the status quo, and provide insights that drive innovation to improve that experience. Through our analysis and insights, we inform business decisions that directly impact customer experience as customers of new GenAI and LLM technologies.<br>
<br>
About the team<br>
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings &ndash; for almost every business at Amazon &ndash; for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).<br>
<br>
Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds &ndash; including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Customer Experience and Business Trends

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