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Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.
Data Scientist II &ndash; Applied AI
Introduction to team
Our Corporate Functions are made up of teams that support Expedia Group, including Employee Communications, Finance, Legal, People Team, Inclusion and Diversity, and Global Social Impact and Sustainability.
We are looking for a high-velocity, hands-on Data Scientist II &ndash; Applied AI to help build and scale practical AI solutions within fast-moving business teams. This is a generalist role for someone who thrives at the intersection of data science, generative AI, product thinking, and execution.
You will partner closely with senior leaders, engineering, and business stakeholders to move quickly from idea, prototype, production. The ideal candidate is deeply curious about emerging AI techniques, proactive in shaping product decisions, and passionate about delivering measurable impact not just experiments.
This role is based in Seattle and requires flexibility to collaborate across time zones.
In this role you will:<ul><li>
Build and deploy end-to-end AI and data science solutions, including LLM-powered workflows and analytics pipelines</li><li>
Rapidly prototype and productionize generative AI use cases (prompt engineering, retrieval-based systems, agent workflows, evaluation frameworks)</li><li>
Translate ambiguous business problems into clear AI/data science problem statements</li><li>
Design and implement evaluation approaches (offline metrics, experimentation, pre/post impact analysis, A/B tests where applicable)</li><li>
Work directly with senior stakeholders to shape product direction, refine requirements, and prioritize high-impact use cases</li><li>
Incorporate user feedback into iterative AI improvements and workflow redesign</li><li>
Develop scalable data pipelines and reusable components using Python and SQL</li><li>
Automate recurring reporting, evaluation, and decision-support workflows</li><li>
Document prompts, workflows, experiments, and technical decisions clearly for internal sharing</li><li>
Contribute to inclusive and responsible AI practices, ensuring clarity, transparency, and reproducibility</li></ul>
Qualifications and Experience:<ul><li>
2&ndash;5 years of experience in Data Science, Applied AI, or a related role</li><li>
Proven experience building and deploying AI or data-driven solutions that delivered measurable business impact</li><li>
Experience working in fast-paced, execution-oriented environments</li></ul><h2 class="jobSectionHeader">
Education</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field</li><li>
Equivalent practical experience building and deploying AI/ML systems will be considered in lieu of formal education</li></ul><h2 class="jobSectionHeader">
Technical Skills</h2><ul><li>
Strong Python and SQL skills (data manipulation, transformation, experimentation support)</li><li>
Experience working with large datasets and production-grade workflows</li><li>
Familiarity with generative AI systems, including: LLM integrations, Prompt engineering, Retrieval-based workflows (RAG concepts), Multi-step or agent-based orchestration</li><li>
Working knowledge of statistics and experimentation (regression, variance analysis, signal vs. noise, basic causal thinking)</li><li>
Ability to design practical evaluation frameworks for AI outputs</li></ul><h2 class="jobSectionHeader">
Mindset &amp; Traits</h2><ul><li>
Generalist mindset: comfortable spanning analytics, modeling, AI workflows, experimentation, and product thinking</li><li>
High ownership and bias for action; favors rapid, iterative delivery</li><li>
Proactive in influencing product direction and collaborating with senior leaders</li><li>
Strong problem-framing skills able to break ambiguous problems into clear, executable steps</li><li>
Passionate about emerging AI techniques and continuously exploring how to apply them</li><li>
Clear communicator who can tell a concise story with data and AI outcomes</li><li>
Flexible and comfortable working with cross-functional and cross-timezone teams</li><li>
Highly collaborative and receptive to feedback</li></ul><h2 class="jobSectionHeader">
Why This Role</h2>
This is not a narrowly scoped role. It&rsquo;s an opportunity to operate as a high-impact AI generalist shaping product direction, experimenting with emerging AI capabilities, and turning ideas into production systems that drive real business outcomes.
If you are energized by speed, ownership, and building practical AI systems that matter, we&rsquo;d love to hear from you.
The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Data Scientist II - Applied AI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</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.
 
 
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. 
 
Key job responsibilities 
<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">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Price Perception and Evaluation Science

<div><h2 class="jobSectionHeader">DESCRIPTION</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.
 
 
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.
 
 
Key job responsibilities 
<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> 
About the team 
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">BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, SPX AI Lab

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon's Pricing Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon products worldwide. 
 
We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our pricing algorithms across all products listed on Amazon. 
 
This role requires an individual with exceptional machine learning and predictive modeling skills, causal and experimental evaluation experience, excellent cross-functional collaboration skills and business acumen, and an entrepreneurial spirit.
 
 
We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work independently to deliver business impact. 
 
Key job responsibilities 
 
<ul><li>See the big picture. Understand and develop science to influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques</li></ul> 
<ul><li>Build strong collaborations. Partner with product, engineering, and data teams within Pricing &amp; Promotions to deploy models at Amazon scale</li></ul> 
<ul><li>Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, reinforcement learning, causal ML, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems</li></ul> 
<ul><li>Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.</li></ul> 
<ul><li>Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.</li></ul> 
A day in the life 
We are hiring an applied scientist to drive our pricing optimization initiatives. The Price Optimization science team drives cross-domain and cross-system improvements through: 
 
<ul><li>invent and deliver price optimization, simulation, and competitiveness tools for Sellers.
</li><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.
</li><li>Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul> 
Price is a highly relevant input into many partner-team architectures, and is highly relevant to the customer, therefore this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication. 
 
About the team 
About the team: the Pricing Discovery and Optimization team within P2 Science owns price quality, discovery and discount optimization initiatives, including criteria for internal price matching, price discovery into search, p13N and SP, pricing bandits, and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing, elasticity estimation, product substitutability, and optimization. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><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><li>2+ years of hands-on predictive modeling and large data analysis experience</li><li>Experience in solving business problems through machine learning, data mining and statistical algorithms</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with training and deploying machine learning systems to solve large-scale optimizations</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Pricing Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
 
 
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include: 
 
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
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. 
USA, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually 
USA, NY, New York - 183,800.00 - 248,700.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, Off-Search, Sponsored Products and Brands

Seattle Children's

<div>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. 
Required Education and Experience 
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. 
 
Required Credentials
 
N/A. 
 
Preferred 
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
Compensation Range
$107,431.00 - $161,147.00 per year
Salary Information
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.<div>
Disclaimer for Out of State Applicants
This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.<div>
Benefits Information
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.<div>
About Us
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
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. 
 
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.
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.
Our Commitment
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.
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.
Seattle Children&rsquo;s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.</div></div></div></div>

AI Research Scientist

YO IT Consulting

<div>
 
 Role Overview
 
 
 
 Leading AI lab to engage independent
 
 Data Science Experts
 
 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large datasets to extract insights that inform model design and refinement.
 </li>
 <li>
 Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
 </li>
 <li>
 Conduct performance assessments and data quality reviews on AI model outputs.
 </li>
 <li>
 Build reusable tools for data processing, visualization, and reporting.
 </li>
 <li>
 Partner with research teams to test hypotheses and scale experimental workflows.
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in data science, machine learning, or a related analytical field.
 </li>
 <li>
 Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
 </li>
 <li>
 Familiarity with large-scale data environments and version-controlled workflows.
 </li>
 <li>
 Strong command of statistical analysis, experimental design, and model validation.
 </li>
 <li>
 Clear written communication and comfort collaborating across technical teams.
 
 
 </li>
 </ul>
 
 More About The Opportunity
 
 
 
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 Expected commitment: 10+ hours/week.
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 Exposure to high-impact AI research and applied experimentation.
 
 
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 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 
 Contract and Payment Terms
 
 
 
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 You will be engaged as an independent contractor.
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 This is a fully remote role that can be completed on your own schedule.
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 Projects can be extended, shortened, or concluded early depending on needs and performance.
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Data Scientist - Remote

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