sr. content strategist , technical content experience Jobs in Seattle United States

sr. content strategist , technical content experience

sr. user experience designer, inclusive experience and technology Jobs in Seattle United States

sr. user experience designer, inclusive experience and technology

learning technologies specialist

Ballard Spahr LLP

<div>Department: Talent<div></div><div>
About Us:</div><div></div><div>
Ballard Spahr is a renowned national law firm with more than 750 lawyers across 18 offices in the United States. A career at Ballard Spahr offers a diverse group of mentors, colleagues, and friends, and strong leadership that provides support and encouragement for career growth.</div><div></div><div>
We are seeking a Learning Technologies Specialist to join our innovative Learning &amp; Development team. In this engaging role, you&rsquo;ll deliver impactful new hire and technology training, create effective and interactive training materials, and play a key part in supporting ongoing learning initiatives across the firm. This is a remote position that will require frequent on-site work at the Seattle location and occasional travel to other Ballard offices as needed.</div><div></div><div>
Why Join Us?</div><div></div><ul><li><div>
Innovative Work Environment: Become part of a forward-thinking firm that enjoys substantial support and visibility from the firm&rsquo;s executive leadership.</div></li><li><div>
Professional Development: Take advantage of continuous learning opportunities and avenues for career growth.</div></li><li><div>
Inclusion: Join a Business Resource Group and share cultural, experiential, or job-related interests, experiences, and/or backgrounds.</div></li><li><div>
Impactful Contributions: Play a pivotal role in developing industry-leading solutions that make a significant difference in legal practice and client service.</div></li></ul><div></div><div>
Your Role:</div><div></div><div>
As a Learning Technologies Specialist within our Learning and Development team<i>,</i> you will:</div><div></div><ul><li><div>
Collaborate with the Learning &amp; Development Team, Talent department, HR, subject matter experts, and firm leaders to apply instructional design best practices across all training initiatives.</div></li><li><div>
Work with the Learning &amp; Development team, subject matter experts, and management to determine topics and content for all training initiatives.</div></li><li><div>
Create and publish learning materials, including training outlines, handouts, instructional videos, eLearning resources, and quick reference cards (QRCs) to the Learning Management System, Document Management System, and Intranet.</div></li><li><div>
Work with the Learning &amp; Development team, subject matter experts, and management to review and update existing learning materials and training guides and to identify training needs.</div></li><li><div>
Work with the Learning &amp; Development team, subject matter experts, and management to conduct needs assessment for training programs and learning resources.</div></li><li><div>
Design and deliver new hire training, technology training, and instructional coaching on firm systems and platforms.</div></li><li><div>
Provide coaching to users as a follow-up to training when applicable.</div></li><li><div>
Assist with evaluating new applications when assigned to the project team.</div></li><li><div>
Attend firm-required training and education programs.</div></li><li><div>
Travel to other Ballard Spahr offices as required.</div></li></ul><div></div><div>
What We&rsquo;re Looking For:</div><div></div><ul><li><div>
Growth Mindset: Self-motivated with a passion for continuous learning and problem-solving.</div></li><li><div>
Collaboration: Work closely with cross-functional teams to share ideas, coordinate priorities, and move projects forward. Values teamwork, and contributes to a positive, collaborative environment.</div></li><li><div>
Communication: Strong verbal and written communication abilities.</div></li><li><div>
Technical Skills: Demonstrate a high degree of proficiency in the firm&rsquo;s computer applications and document management system, including but not limited to MS Office (Word, Outlook, Excel, PowerPoint, SharePoint), Adobe Acrobat, NetDocuments, and other practice/functional area databases, the Learning Management System and Intranet, and eLearning tools such as Captivate, Camtasia, and Articulate, as appropriate.</div></li><li><div>
Detail-Oriented: Keen attention to detail with the ability to manage multiple priorities and deadlines independently.</div></li><li><div>
Judgement and Problem-Solving Skills: Demonstrate good judgment, discretion, and problem-solving skills. Adopt a strategic mindset and exercise attention to detail to proactively identify and prevent potential issues. Use analytical skills to interpret the issue at hand and develop applicable or appropriate recommendations and solutions. Exercise discretion, maintain confidentiality, perform well under pressure, and maintain control in difficult situations.</div></li></ul><div></div><div>
Required Experience:</div><div></div><div>
A bachelor&rsquo;s degree and a minimum of 5 years relevant work experience is required for this position. Collaborate with the Learning &amp; Development Team, Talent department, HR, subject matter experts, and firm leaders to apply instructional design best practices across all training initiatives.</div><div></div><div>
Candidates should possess strong multitasking skills without loss of efficiency or accuracy and demonstrate proficiency with software applications. Experience working in a law firm or legal environment is preferred. If you have a passion for empowering others through technology training and want to help shape the growth of our organization, we&rsquo;d love to hear from you!</div><div></div><div>
The salary range for this position is from $110,000 &ndash; $120,000, which reflects the Firm&rsquo;s good faith and reasonable estimate of possible compensation at the time of posting. Actual pay will depend on several factors such as the candidate&rsquo;s experience and qualifications.</div><div></div><div>
Ballard Spahr offers an excellent benefits package. A summary of available benefits can be found <div>here</div> in the Careers section of the firm&rsquo;s website.</div><div></div><div>
Ready to Grow with Us?</div><div>
If you are ready to play a vital role in the Firm&rsquo;s success, we encourage you to apply and be a part of our commitment to excellence.</div><div><br>
</div><div></div><div>At Ballard Spahr, we believe that our skills, perspectives, and backgrounds drive innovation and excellence, while our unique culture fosters collaboration and success. Our culture of thriving together forms the cornerstone of how we deliver exceptional service and position our firm for a strong future. We welcome and encourage applicants from all backgrounds to apply.</div><div></div><div>
Ballard Spahr is an equal opportunity employer. We offer equal consideration to all qualified applicants, regardless of race, ethnicity, religion, age, national origin, handicap or disability, citizenship, sex, pregnancy, childbirth or related medical condition, sexual orientation, gender identity and expression, transgender status, sex stereotyping, genetic information, ancestry, veteran status or any other category protected by applicable law.</div><div></div><div>
The firm is not accepting resumes from search firms for this position.</div></div>

Learning Technologies Specialist

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior BI Specialist - R01557932</b></h1>
<p></p><div><b>About Brillio:<br>
</b></div><div></div><br>
<div>Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as &quot;Brillians&quot;, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
</div><div>Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work&reg; certification year after year.</div><div></div><div><b><br>
Senior BI Specialist</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
SQL, Advanced Excel, Power BI, SSIS, Power App
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Power BI Development: Senior Lead BI Engineer
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Job Title: Power BI Developer (SQL Expert) Job Description: We are seeking a Power BI Developer with strong SQL expertise to design and deliver insightful dashboards, reports, and data solutions. The ideal candidate combines technical skills in data engineering, ETL, and advanced Excel reporting with strong business understanding and stakeholder engagement. Key Responsibilities: &bull; Develop, optimize, and maintain Power BI dashboards and reports. &bull; Write advanced SQL queries for data extraction, transformation, and analysis. &bull; Collaborate with cross-functional teams in an Agile environment to deliver iterative solutions. &bull; Work with ETL pipelines and Azure Data Factory (ADF) to ensure smooth data flow. &bull; Engage stakeholders to understand requirements and translate them into actionable insights. &bull; Manage deliverables, timelines, and alignment with business objectives. &bull; Analyze and interpret data to drive informed decision-making. &bull; Apply problem-solving and communication skills to resolve complex data challenges. &bull; Leverage advanced Excel for reporting, reconciliation, and analysis purposes for engagements. Required Skills: &bull; Power BI: Dashboard development, reporting, visualization, DAX. &bull; SQL: Advanced querying, performance tuning, data analysis. &bull; Data Engineering: ETL, data modeling, Azure Data Factory experience. &bull; Advanced Excel: Pivot tables, formulas, data reconciliation, reporting. &bull; Agile Experience: Iterative development, collaboration across teams. &bull; Stakeholder Management: Effective communication and requirement gathering. &bull; Strong analytical and problem-solving skills. Location: USA (Remote, PST Hours) Experience: 8+ years
</li></ul><div></div><div>Know what it&rsquo;s like to work and grow at Brillio: Click here</div></div><p></p>

Senior BI Specialist – R01557932

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI.<br>
<br>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.<br>
<br>
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.<br>
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
<br>
Key job responsibilities<br>
As an experienced technology professional, you will be responsible for:<br>
<ul><li>Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs</li><li>Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services</li><li>Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies</li><li>Acting as a trusted advisor to customers on industry trends and emerging technologies</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul><br>
About the team<br>
About AWS:<br>
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture - Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience</li><li>Bachelor's degree in computer science, engineering, mathematics or equivalent</li><li>Experience in software development with object oriented language</li><li>4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>AWS Professional level certification</li><li>Masters or PhD degree in computer science, or related technical, math, or scientific field</li><li>Strong working knowledge of deep learning, machine learning and statistics</li><li>Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2</li><li>Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training</li><li>Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts</li><li>Knowledge of security and compliance standards (e.g., HIPAA, GDPR)</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>
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>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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.<br>
<br>
The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed 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/us-benefits-and-stock.<br>
<br>
Colorado $153,600 - $207,800 annually<br>
National $138,200 - $239,000 annually</div>

Senior Delivery Consultant- GenAI/ML, AWS, Industries

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands<br>
<br>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through 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.<br>
<br>
Key job responsibilities<br>
As a Software Development Engineer in Machine Learning, you will:
<br>
<ul><li>Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.</li><li>Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.</li><li>Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.</li></ul><br>
About the team<br>
SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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>
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>
<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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr Software Dev Engineer, Machine Learning, Sponsored Products and Brands Ads Response Prediction

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
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.<br>
<br>
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!<br>
<br>
Key job responsibilities<br>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
<br>
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul><br>
A day in the life<br>
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.<br>
<br>
About the team<br>
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.<br>
<br>
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!</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></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>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, Sponsored Product Off-Search

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
<br>
<br>
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
<br>
<br>
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.<br>
<br>
Key job responsibilities<br>
As an experienced technology professional, you will be responsible for:
<br>
<br>
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
<br>
2. Providing technical guidance and troubleshooting support throughout project delivery
<br>
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
<br>
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
<br>
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts<br>
<br>
About the team<br>
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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Inclusive Team Culture - Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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Mentorship &amp; Career Growth - We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of experience in cloud architecture and implementation</li><li>Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience</li><li>2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)</li><li>Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences</li><li>2+ years of experience of Data platform implementation</li><li>Hands on experience with building data or machine learning pipeline</li><li>Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)</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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $88,400/year in our lowest geographic market up to $192,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Associate Delivery Consultant AI/ML, A2C ProServe Shared Delivery (SDT)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Generative AI Innovation Center (GenAIIC) at AWS helps AWS customers accelerate the use of generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers and partners to build bespoke solutions that harness the power of generative AI. The team is looking for an experienced and talented Principal Data Science Manager who brings a strong blend of experience in machine learning, generative and agentic AI, effective organizational and interpersonal skills, and experience building scalable AI/ML solutions using cloud computing.
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The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical &ldquo;face&rdquo; of GenAIIC with our customers. You will be able to drive discussions with senior technical and business leaders within customers and partners. You will possess technical background that enables you to interact with and give guidance to data/research/applied scientists and software engineers on the team. The ideal candidate will also have demonstrated ability to roll up their sleeves to build agentic AI solutions, think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.<br>
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Key job responsibilities<br>
<ul><li>Collaborate with ML scientists, engineers and architects to research, design, and develop Generative and Agentic AI solutions to address real-world challenges</li><li>Interact with customers to understand business problems, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production</li><li>People management responsibilities, to include leading teams driving incubation efforts in areas such as Responsible AI, Physical AI and Agentic AI</li><li>Create and deliver best practice recommendations, blog posts, and presentations adapted to technical, business, and executive stakeholders</li><li>Provide customer and market feedback to Product and Engineering teams to help define product direction</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>5+ years of people management experience</li><li>Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives</li><li>Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track</li><li>10+ years as a scientist or science manager</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>10+ years of practical work applying ML to solve complex problems for large-scale applications experience</li><li>Experience programming in Java, C++, Python or related language</li><li>5+ years of hands-on work in big data, machine learning and natural language processing</li><li>Experience with AWS technologies for machine learning like SageMaker, Bedrock, S3, and EC2</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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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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $208,300/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Manager, Data Science, Generative AI Innovation Center

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