2026 phd scientist intern (competitive intelligence)

applied scientist, aws applied ai solutions

applied scientist, customer experience and business trends

applied scientist, price perception and evaluation science

commercial dock & door service technician

account executive, small to medium business

software engineer

2026 phd scientist intern (competitive intelligence) Jobs in Seattle

applied scientist, aws applied ai solutions Jobs in Seattle

applied scientist, customer experience and business trends Jobs in Seattle

applied scientist, price perception and evaluation science Jobs in Seattle

ai research scientist

Seattle Children's

<div><p>The Research Scientist IV (AI/ML Scientist) is a cross-institutional scientific professional responsible for developing and deploying advanced AI/ML pipelines that support data intense research areas in Seattle Children's Research Institute, including high resolution and high-dimensional imaging and spatial biology data. This role directly contributes to SCRI's enterprise AI investment, building reusable pipelines, automation frameworks/workflows, and analysis tools while providing advanced support to investigators through collaborative and grant-funded work.</p><p><br>
</p><b>Required Education and Experience</b><br>
PhD or M.D. in life sciences, computational biology, data science, computer science Minimum of 2-4 years&rsquo; experience in required field of specialization. Prior experience with laboratory management or another relevant research field.<br>
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<b>Required Credentials</b>
<br>
N/A.<br>
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<b>Preferred</b><br>
Proficiency in the field of AI/ML application to biomedical data, including extensive familiarity with imaging/microscopy data, flow cytometry data, and genomic data. Experience working multidisciplinary collaborative research environment<p></p><p><b>
Compensation Range</b></p>
$107,431.00 - $161,147.00 per year<p></p><p><b>
Salary Information</b></p><p>
This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.</p><p></p><div><p><b>
Disclaimer for Out of State Applicants</b></p><p>
This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors<b>.</b></p><p></p><div><p><b>
Benefits Information</b></p><p>
Seattle Children&rsquo;s offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website www.seattlechildrens.org/careers/benefits.</p><p></p><div><p><b>
About Us</b></p><p><b>
Hope. Care. Cure. These three simple words capture what we do at Seattle Children&rsquo;s &ndash; to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE</b></p><p></p><p>
Our founding promise to the community is as valid today as it was over a century ago: we will care for all children in our region, regardless of the families&rsquo; ability to pay. Together, we deliver superior patient care, advance new discoveries and treatments through pediatric research, and serve as the pediatric and adolescent, academic medical center for Washington, Alaska, Montana and Idaho &ndash; the largest region of any children&rsquo;s hospital in the country.<br>
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U.S. News &amp; World Report consistently ranks Seattle Children&rsquo;s among the nation&rsquo;s best children&rsquo;s hospitals. For more than a decade, Seattle Children&rsquo;s has been nationally recognized in key specialty areas. We are honored to be one of the nation&rsquo;s very best places to care for children and the top-ranked pediatric hospital in Washington and the Pacific Northwest.</p><p></p><p>
As a Magnet designated institution, we recognize the importance of hiring and developing great talent to provide best-in-class care to the patients and families we serve. Our organizational DNA takes form in our core values: Compassion, Excellence, Integrity, Collaboration, Equity and Innovation. Whether it&rsquo;s delivering frontline care to our patients in a kind and caring manner, practicing the highest standards of quality and safety, or being relentlessly curious as we work towards eradicating childhood diseases, these values are the fabric of our culture and community. The future starts here.</p><p></p><p><b>
Our Commitment
</b></p><p>Seattle Children&rsquo;s welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p><p></p><p>
The people who work at Seattle Children&rsquo;s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.</p><p></p><p>
Seattle Children&rsquo;s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.</p></div></div></div></div>

AI Research Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Sponsored Products and Brands (SPB) is at the heart of Amazon Advertising, helping millions of advertisers&mdash;from small businesses to global brands&mdash;connect with customers at the moments that matter most. Our advertising solutions enable sellers, vendors, and brand owners to grow their businesses by reaching shoppers with relevant, engaging ads across Amazon's store and beyond. We're obsessed with delivering measurable results for advertisers while creating a delightful shopping experience for customers.<br>
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Are you interested in defining the science behind the future of advertising? Sponsored Products and Brands science teams are pioneering breakthrough agentic AI systems&mdash;pushing the boundaries of large language models, autonomous reasoning, planning, and decision-making to build intelligent agents that fundamentally transform how advertisers succeed on Amazon.<br>
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As an SPB applied science leader, you'll have end-to-end ownership of the product and scientific vision, research agenda, model architectures, and evaluation frameworks required to deliver state-of-the-art agentic AI solutions for our advertising customers. You'll get to work on problems that are fast-paced, scientifically rich, and deeply consequential. You'll also be able to explore novel research directions, take bold bets, and collaborate with remarkable scientists, engineers, and product leaders. We'll look for you to bring your diverse perspectives, deep technical expertise, and scientific rigor to make Amazon Advertising even better for our advertisers and customers. With global opportunities for talented scientists and science leaders, you can decide where a career in Amazon Ads Science takes you!<br>
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We are kicking off a new initiative within SPB to leverage agentic AI solutions to revolutionize how advertisers create, manage, and optimize their advertising campaigns. This is a unique opportunity to lead a business-critical applied science initiative from its inception&mdash;defining the scientific charter, establishing foundational research pillars, and building a multi-year science roadmap for transformative impact. As the single-threaded applied science leader, you will build and guide a dedicated team of applied scientists, research scientists, and machine learning engineers, working closely with cross-functional engineering and product partners, to research, develop, and deploy agentic AI systems that fundamentally reimagine the advertiser journey.<br>
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Your charter will begin with advancing the science behind intelligent agents that simplify campaign creation, automate optimization decisions through autonomous reasoning and planning, and deliver personalized advertising strategies at scale. You will pioneer novel approaches in areas such as LLM-based agent architectures, multi-step planning and tool use, retrieval-augmented generation, reinforcement learning from human and business feedback, and robust evaluation methodologies for agentic systems. You will expand to proactively identify and tackle the next generation of AI-powered advertising experiences across the entire SPB portfolio. This high-visibility role places you as the science leader driving our strategy to democratize advertising success&mdash;making it effortless for advertisers of all sizes to achieve their business goals while delivering relevant experiences for Amazon customers.<br>
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Key job responsibilities<br>
Build, mentor, and lead a new, high-performing applied science organization of applied scientists, research scientists, and engineers, fostering a culture of scientific excellence, innovation, customer obsession, and ownership.<br>
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Define, own, and drive the long-term scientific and product vision and research strategy for agentic AI-powered advertising experiences across Sponsored Products and Brands&mdash;identifying the highest-impact research problems and charting a path from exploration to production.<br>
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Lead the research, design, and development of novel agentic AI models and systems&mdash;including LLM-based agent architectures, multi-agent orchestration, planning and reasoning frameworks, tool-use mechanisms, and retrieval-augmented generation pipelines&mdash;that deliver measurable value for advertisers and create delightful, intuitive experiences.<br>
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Establish rigorous scientific methodology and evaluation frameworks for assessing agent performance, reliability, safety, and advertiser outcomes, setting a high bar for experimentation, reproducibility, and offline-to-online consistency.<br>
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Partner closely with senior business, engineering, and product leaders across Amazon Advertising to translate advertiser pain points and business opportunities into well-defined science problems, and deliver cohesive, production-ready solutions that drive advertiser success.<br>
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Drive execution from research to production at scale, ensuring models and agentic systems meet high standards for quality, robustness, latency, safety, and reliability for mission-critical advertising services operating at Amazon scale.<br>
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Champion a culture of scientific inquiry and technical depth that encourages bold experimentation, publication of novel research, relentless simplification, and continuous improvement.<br>
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Communicate your team's scientific vision, research breakthroughs, strategy, and progress to senior leadership and key stakeholders, ensuring alignment with broader Amazon Advertising objectives and contributing to Amazon's position at the forefront of applied AI.<br>
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Develop a science roadmap directly tied to advertiser outcomes, revenue growth, and business plans, delivering on commitments for high-impact research and modeling initiatives that shape the future of AI-powered digital advertising.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><p>
Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field, or equivalent combination of M.S. and relevant experience.<br>
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10+ years experience in applied science, machine learning, GenAI/LLMs or AI research, with a strong track record of developing and deploying models and systems into production at scale.<br>
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5+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
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Deep hands-on expertise in one or more of the following: large language models (LLMs), natural language processing, deep learning, reinforcement learning, or multi-agent systems.<br>
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Experience partnering with engineering, product, and program management teams to translate scientific research into customer-facing products and measurable business outcomes.<br>
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Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) and programming languages commonly used in ML research and production (e.g., Python, Scala, Java).</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
Direct experience building or leading research and development of agentic AI systems, including LLM-based autonomous agents, multi-step planning and reasoning, tool use, and multi-agent orchestration.<br>
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Experience with large-scale LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and alignment techniques.<br>
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8+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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><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, CA, Palo Alto - 251,600.00 - 340,300.00 USD annually<br>
USA, NY, New York - 240,600.00 - 325,500.00 USD annually<br>
USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually</div><p></p>

Sr. Applied Science Manager, Agentic AI Ads, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's Price Perception and Evaluation team is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.
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The Applied Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.<br>
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Key job responsibilities<br>
<ul><li>Research and use of statistical techniques to create scalable solutions for business problems.</li><li>Design, build, and deploy effective and innovative ML solutions to provide low prices and increased selection for customers using scientifically-based methods and decision making.</li><li>Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation.</li><li>Publish and present your work at internal and external scientific venues.</li></ul></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 in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience applying theoretical models in an applied environment</li><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences</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, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Price Perception and Evaluation Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.
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We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale &mdash; owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.
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Key job responsibilities<br>
<ul><li>Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.</li><li>Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.</li><li>Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.</li><li>Research and implement novel machine learning and statistical approaches.</li><li>Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.</li></ul><br>
About the team<br>
Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce &mdash; not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer-obsessed company, transforming the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building machine learning models or developing algorithms for business application 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 in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li><li>Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting</li><li>Experience identifying opportunities to integrate AI solutions into products and services to drive business value.</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, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, SPX AI Lab

<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.
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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>
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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>
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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).
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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>
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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 machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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 - 167,100.00 - 226,100.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied 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>
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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>
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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>
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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>
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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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