abm marketing manager, financial services , aws industry marketing Jobs in Seattle

abm marketing manager, financial services , aws industry marketing

applied scientist ii, aws applied ai solutions, visual reasoning & agentic ai Jobs in Seattle

applied scientist ii, aws applied ai solutions, visual reasoning & agentic ai

applied scientist ii, prime video personalization and discovery science Jobs in Seattle

applied scientist ii, prime video personalization and discovery science

applied scientist, agentic ai, aws agentic ai Jobs in Seattle

applied scientist, agentic ai, aws agentic ai

associate scientist, high throughput analytics Jobs in Seattle

associate scientist, high throughput analytics

applied scientist agentic ai aws agentic ai

Amazon.com

<p></p><div><div><p>DESCRIPTION</p><div>
Come join the AWS AI science team in building the next generation models for intelligent automation.<br>
<br>
AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.<br>
<br>
We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.<br>
<br>
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.<br>
<br>
About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, 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>
About AWS<br>
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<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Work/Life Balance<br>
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.
<br>
<br>
Mentorship &amp; Career Growth<br>
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.</div></div><div><p><br>
BASIC QUALIFICATIONS</p><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 2+ 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><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></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 $136,000/year in our lowest geographic market up to $223,400/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></div>
<br><div><div><p>Job details</p></div><ul><div><p><div><div>
USA, WA, Seattle</div><div>
USA, CA, Santa Clara</div><div>
USA, NY, New York</div></div></p></div><div><p><div>
Machine Learning Science</div></p></div></ul></div>

Applied Scientist, Agentic AI, AWS Agentic AI

<p></p><div><div><p>DESCRIPTION</p><div>
As part of the AWS Applied AI Solutions organization, we're advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries.<br>
<br>
The Team<br>
Our research team is tackling fundamental challenges in visual reasoning that combine generative AI and agentic frameworks. We're investigating novel approaches to how AI systems understand spatial relationships, reason about object interactions, and maintain contextual awareness across time. Working at the intersection of computer vision and large language models, we're developing theoretical frameworks and practical techniques that advance the state-of-the-art in visual AI.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop a novel agentic AI framework to solve diverse visual AI challenges in the physical world</li><li>Advance the theory and practice of multi-modal foundation models for visual understanding</li><li>Design new approaches to memory and attention mechanisms for processing continuous visual streams</li><li>Create innovative techniques for efficient visual processing that can scale to real-world applications</li><li>Research new methods for autonomous decision-making based on visual inputs</li><li>Investigate approaches to reduce the computational and data requirements of visual reasoning systems</li></ul><br>
A day in the life<br>
As an Applied Scientist, you'll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You'll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You'll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology.<br>
<br>
About the team<br>
AWS Solutions<br>
<br>
As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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?<br>
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<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
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<br>
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.</div></div><div><p>
BASIC QUALIFICATIONS</p><ul><li>PhD in Computer Science, Machine Learning, or related field (or MS with equivalent research experience)</li><li>Track record of publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on visual reasoning, scene understanding, or visual-language models</li><li>Strong background in computer vision, deep learning, and multi-modal foundation models</li><li>Experience with PyTorch or other deep learning frameworks</li><li>Demonstrated ability to transform research ideas into practical implementations</li></ul></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>Deep knowledge of large multimodal models, fine-tuning techniques, and agentic frameworks, particularly in computer vision</li><li>Experience with large-scale model training and optimization</li><li>Background in cognitive science or computational neuroscience relating to visual processing</li><li>Contributions to open-source AI projects or research frameworks</li><li>Experience mentoring junior researchers and collaborating with engineering teams</li><li>Strong track record of turning research breakthroughs into practical applications</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 $136,000/year in our lowest geographic market up to $223,400/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></div>
<br><div><div><p>Job details</p></div><ul><div><p><div>
USA, WA, Seattle</div></p></div><div><p><div>
Research Science</div></p></div></ul></div>

Applied Scientist II, AWS Applied AI Solutions, Visual Reasoning & Agentic AI

<p></p><div><div><p>DESCRIPTION</p><div>
Are you looking for that next big Finance opportunity, a business partnering role with full P&amp;L responsibility? Join AWS Applied AI Solutions Core Services Finance team to help shape the financial foundation of technologies that put AI to work and revolutionize industries&mdash;an opportunity to create history through financial leadership that transforms business!
<br>
Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprises, governments and start-up businesses and organizations in over 190 countries around the world.
<br>
At Applied AI Solutions, we harness Amazon's operational expertise to become the trusted partner businesses count on every day, transforming how companies work through AI to elevate customer experiences, drive operational excellence, and accelerate success&mdash;creating a future where businesses thrive with technology they truly love and trust.
<br>
AWS Finance is seeking a Sr Financial Analyst to partner with leadership in the AWS Applied AI Solutions Core Services portfolio. This role provides strategic financial leadership across established and emerging services, driving pricing strategy, revenue growth, cost optimization, and financial planning.<br>
<br>
Key job responsibilities<br>
Key job responsibilities<br>
Strategic Financial Leadership<br>
<ul><li>Partner with business leaders to co-create business strategies, develop financial models, and derive actionable insights.</li><li>Lead development and implementation of the long-range strategic plan, annual plan, and quarterly forecasts</li><li>Leverage data-driven insights and analytics to influence executive decision-making to drive revenue growth and promote cost discipline</li><li>Foster a culture of thought leadership within the team to drive the business towards long-term profitability objectives
</li></ul>Pricing Strategy<br>
<ul><li>Design data-driven pricing strategies that optimize market competitiveness and profit margins</li><li>Drive financials for Private Purchase Agreements, securing favorable terms and conditions</li><li>Conduct comprehensive scenario analysis across pricing models to identify risk exposure and strategic opportunities
</li></ul>Financial Planning and Analysis<br>
<ul><li>Lead FP&amp;A activities, building models to measure financial performance</li><li>Develop forecasts and present insights to senior leadership</li><li>Support revenue modeling and cost savings initiatives</li><li>Evaluate new business opportunities with financial analysis
</li></ul>Controllership<br>
<ul><li>Deliver precise, insight-driven financial reports that enable informed executive decision-making</li><li>Maintain rigorous financial controls and reporting standards to ensure data integrity and compliance</li><li>Drive process optimization to enhance analytical capabilities while preserving control frameworks</li><li>Foster cross-functional collaboration to align diverse teams toward strategic objectives</li></ul><br>
About the team<br>
AWS Applied AI Solutions Core Services Finance unites exceptional financial talent to drive the future of Agentic AI. As strategic partners to the Core Services organization, we enable their mission to become the trusted technology provider for Applied AI solutions.</div></div><div><p>
BASIC QUALIFICATIONS</p><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience</li></ul></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience</li><li>MBA, or CPA</li><li>Knowledge of Tableau</li><li>Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)</li><li>4+ years of applying key financial performance indicators (KPIs) to analyses experience</li><li>4+ years of creating process improvements with automation and analysis experience</li><li>4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience</li><li>Six Sigma Black Belt</li><li>Experience with advanced use of SQL for data mining and business intelligence</li><li>Experience as a lean sensei, or experience working as a Quality Assurance Engineer</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 $60,200/year in our lowest geographic market up to $128,800/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></div>
<br><div><div><p>Job details</p></div><ul><div><p><div>
USA, WA, Seattle</div></p></div><div><p><div>
Finance and Global Business Services</div></p></div></ul></div>

Sr. Financial Analyst, AWS Finance, AWS Applied AI Solutions Core Services Finance

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As a Technical Product Marketing Manager at Amazon Web Services (AWS), you will play a pivotal role in understanding customer needs and synthesizing data from various sources to drive product outcomes that exceed expectations. Your primary responsibility will be to work backwards from customer and industry requirements, connecting the dots between different AWS capabilities and services. This will ensure that we are building and marketing the right portfolios of offerings to meet and exceed customer needs, while clearly articulating the value propositions of our capabilities. In this role, you will leverage your deep experience as a technologist who has worked closely with customers utilizing cloud capabilities. You will synthesize both external and internal data from multiple sources and collaborate closely with AWS Product Managers across various services. Your efforts will guide feature prioritization, ensure consistency across services, and develop compelling positioning and messaging at the portfolio level. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. You will have the opportunity to work on a diverse set of services and capabilities, including Analytics, Databases, ML, Generative AI, Agentic AI, and Security. We are looking for builders who thrive in customer interactions, analyze and synthesize data, and influence product outcomes while educating customers on the value of technology. The ideal candidate will be able to operate at both a broad and deep level, understanding our technology with the same depth as our customers, and thinking like both a technologist and a business leader.<br>
<br>
Key job responsibilities<br>
Creation of positioning and messaging artifacts that will represent our offerings at a portfolio level<br>
Deliver product demonstrations and oversee a third party agency product demo creation<br>
Deliver presentations including common architectural and design patterns for their domain to customers, partners, and field members<br>
Translate complex technical concepts to both technical and business audiences<br>
Analysis and synthesis of 1st and 3rd party data (including driving direct data gathering from customers) to define opportunities for our offerings articulate common architectural and design patterns for their product area or industry (e.g. can work with other teams to create a reference architecture and can participate in a discuss with a customer or product team around a reference architecture)<br>
Acting as an advocate for customers within AWS during the product development process<br>
Create content artifacts (presentations, demos, etc.) that can be leveraged broadly to educate customers on our offerings<br>
Working closely with other AWS teams to ensure these value propositions are articulated broadly and clearly<br>
Open to some travel (up to 15%)</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><p>
7+ years experience working directly with customers on adoption of cloud-based products and services<br>
7+ years working knowledge of cloud-based architectures in one or more technical domains (e.g. Analytics, ML, Generative AI, Agentic AI)<br>
Bachelor's degree in Computer Science or similar field or equivalent experience</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
Excellent verbal and written communications skills<br>
High level of comfort communicating effectively across internal and external organizations, and with executives<br>
Professional experience architecting/operating solutions built on AWS or other cloud platforms<br>
A passion for learning and for helping others to learn<br>
Hands-on experience with AWS<br>
AWS Solutions Architect Associate or Professional certification<br>
Prior Technical Product Marketing experience<br>
MBA degree<br>
<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 $124,100/year in our lowest geographic market up to $277,700/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.</p></div>

Sr. Technical Product Marketing Manager, AWS Data Portfolio Product Marketing

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!<br>
<br>
Agentic Advertiser Guidance team is focussed on guiding and supporting advertisers to meet their advertising needs of creating and managing ad campaigns. Our vision is to build a highly personalized, context aware agentic advertiser guidance that is built using LLMs and tools such as auction simulations, ML and optimization algorithms. This agent will be part of a larger agentic framework, working with chat and non-chat experiences across the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we work closely with stakeholders on Ad Console, and Amazon Sales team, to identify opportunities for the advertiser ranging from guidance across products to granular controls such as keywords and deliver them through a personalized experience.<br>
<br>
We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Large Language Models (LLM), optimization algorithms, Online Advertising, and/or randomized experiments. In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance</li><li>Drive alignment across teams for science, engineering, and product strategy to achieve business goals.</li><li>Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers</li><li>Develop state of the art experimental approaches and ML models.</li></ul></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>
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 $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>

Senior Applied Scientist, Agentic Advertiser Guidance, Sponsored Products, Agentic Advertiser Guidance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.<br>
<br>
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
</li><li>Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports</li><li>Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 5+ years of applied research experience</li><li>5+ 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 popular deep learning frameworks such as MxNet and Tensor Flow.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</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>
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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 $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>

Senior Applied Scientist, Artificial General Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At Amazon, we're committed to pioneering new frontiers in customer experience, and Mosaic is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion and fitness products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a experienced Data Scientist with expertise in LLM, forecasting, anomaly detection, and segmentation modeling to support our efforts to understand customer behavior in this dynamic space and build Gen AI tools that scale our science solutions.<br>
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Over the years, teams across Amazon have built systems that can measure customer behavior and even optimize what is shown to customers based on relevant metrics. However, understanding the most important metrics and enabling leaders to look around corners with forecasting and anomaly detection continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with F2 Scientists, Analysts, the Central Science and Insights Team, and Finance to define the right metrics and methodologies to build models to guide programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like &ldquo;What is driving this customer behavior?&rdquo; and &ldquo;What are signs that customer behavior is likely to change in the near future?&rdquo;.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</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 $125,500/year in our lowest geographic market up to $212,800/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>

Fashion & Fitness Data Science, Engineering Analytics Research and Science (EARS)

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