generative ai scientist

Cotiviti

<div>Overview:
<div>
The <b>Staff Gen AI Scientist</b> will apply knowledge and experience to real world problems and seek to improve health quality outcomes and reduce the cost of healthcare. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.</div><div></div><div><i><br>
Please note:</i><i> We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a general guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.</i></div><br>
<div></div>
Responsibilities:
<p>
As a <b>Staff Gen AI Scientist</b> within Cotiviti you will be responsible for delivering solutions that help our clients improve the quality of healthcare outcomes, reduce the cost of healthcare processes, and/or identify payment integrity issues. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented.</p><ul><li>
Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.</li><li>
Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.</li><li>
Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.</li><li>
Prepare your final trained model and develop a validation test set for QA.</li><li>
Work with production operations to deploy your model into production and support them in monitoring model performance.</li><li>
Participate in other data science teams collaborating with your peers to support their projects.</li><li>
Participate in knowledge sharing sessions to bring new insights and technologies to the team.</li><li>
Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.</li><li>
Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.</li><li>
Complete all responsibilities as outlined in the annual performance review and/or goal setting<b>.</b></li><li>
Complete all special projects and other duties as assigned.</li><li>
Must be able to perform duties with or without reasonable accommodation.</li></ul><div>
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.</div>
Qualifications:
<ul><li>Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.</li><li>
Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, Llama/Mistral and OpenAI, vector databases.</li><li>
7+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU's.</li><li>
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.</li><li>
Experience working with Apache Spark&trade; and large-scale distributed datasets.</li><li>
Experience communicating technical concepts to non-technical and technical audiences is a plus.</li><li>
Passion for collaboration, learn it all mindset and driving value with AI.</li></ul><div><b>
Mental Requirements:</b></div><ul><li>
Ability to work independently as well as collaborate as a team with a sense of urgency.</li><li>
Professional with ability to properly handle confidential information.</li><li>
Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.</li><li>
Ability to handle multiple tasks, prioritize and meet deadlines.</li><li>
Ability to work within a matrixed organization.</li><li>
Proficiency in all required skills and competencies above.</li><li>
Communicating with others and teamwork.</li><li>
Assessing the accuracy, neatness, and thoroughness of the work assigned.</li></ul><div><b>
Physical Requirements and Working Conditions:</b></div><ul><li>
Flexibility to work with global teams as well geographically dispersed US based teams.</li><li>
Remaining in a stationary position, often standing or sitting for prolonged periods.</li><li>
Repeating motions that may include the wrists, hands and/or fingers.</li><li>
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.</li><li>
Must be able to provide a dedicated, secure work area.</li></ul><div></div><div>
Base compensation ranges from $165,000 to $190,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.</div><div></div><div><br>
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.</div><div></div><div><br>
Since this job will be based remotely, all interviews will be conducted virtually.</div><div></div><div><br>
Date of posting: 11/10/2025</div><div>
Applications are assessed on a rolling basis. We anticipate that the application window will close on 02/10/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.</div><div></div><div><br>
#LI-Remote</div><div>
#Senior</div><div>
#LI-LL1</div></div>

Staff Generative AI Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Alexa+ is Amazon&rsquo;s next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+.<br>
<br>
As an Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies.<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities</li><li>Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning</li><li>Pioneer new methods for AI safety, alignment, and responsible AI development</li><li>Design and execute sophisticated experiments to evaluate model performance and behavior</li><li>Lead the development of production-ready AI solutions that scale efficiently</li><li>Collaborate with product teams to translate research innovations into practical applications</li><li>Guide engineering teams in implementing AI models and systems at scale</li><li>Author technical papers for top-tier conferences</li><li>File patents for novel AI technologies and applications</li></ul><br>
A day in the life<br>
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.<br>
<br>
About the team<br>
Who We Are:<br>
Trust CX Innovations is a strategic innovation team within Amazon Devices &amp; Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design.<br>
<br>
Our Mission:<br>
To pioneer trustworthy AI innovations that delight customers while setting new standards for privacy and responsible technology development. We aim to transform how Amazon builds AI products by creating solutions that balance innovation with customer trust.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Direct experience with leading generative AI models (e.g., GPT architectures, diffusion models)</li><li>Background in AI safety and alignment research</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist, Trust CX Innovations (TCI)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
Key job responsibilities<br>
As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on.
<br>
<br>
You&rsquo;ll work on diverse projects that enhance Prime Video&rsquo;s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:
<br>
<ul><li>Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia
</li><li>Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability.
</li><li>Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines.
</li><li>Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines.</li></ul><br>
A day in the life<br>
Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world-class media creation accessible, scalable, and efficient.
<br>
<br>
We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Video&rsquo;s global content and marketing pipelines. This is a newly formed team within Prime Video Science!</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in generative models (diffusion, flow, transformers)</li><li>Hands-on experience with image/video synthesis and editing techniques</li><li>Proficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)</li><li>Experience with controllable generation methods, including emerging approaches (familiarity with LoRA/ControlNet, parameter-efficient tuning, or test-time training a plus)</li><li>Expertise in one or more of: harmonization, relighting, style transfer, lip-sync, segmentation, matting, depth estimation, 3D camera/scene modeling.</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>

Applied Scientist, Prime Video - Generative AI

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
Key job responsibilities<br>
As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on.
<br>
<br>
You&rsquo;ll work on diverse projects that enhance Prime Video&rsquo;s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:
<br>
<ul><li>Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia
</li><li>Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability.
</li><li>Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines.
</li><li>Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines.</li></ul><br>
A day in the life<br>
Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world-class media creation accessible, scalable, and efficient.
<br>
<br>
We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Video&rsquo;s global content and marketing pipelines. This is a newly formed team within Prime Video Science!</div><h2 class="jobSectionHeader"><b><br>
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>Experience in generative models (diffusion, flow, transformers)</li><li>Hands-on experience with image/video synthesis and editing techniques</li><li>Proficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)</li><li>Experience with controllable generation methods, including emerging approaches (familiarity with LoRA/ControlNet, parameter-efficient tuning, or test-time training a plus)</li><li>Expertise in one or more of: harmonization, relighting, style transfer, lip-sync, segmentation, matting, depth estimation, 3D camera/scene modeling.</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>

Sr. Applied Scientist, Prime Video - Generative AI

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Sr. Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.<br>
<br>
As an Sr. Applied Scientist, you will play a critical role in supporting 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>
Key job responsibilities<br>
Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI<br>
<br>
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results<br>
<br>
Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems<br>
<br>
Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports<br>
<br>
About the team<br>
We are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases.
</p><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 in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>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></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, AGI Foundations

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands<br>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-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>
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.</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>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</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>

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

Inception

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 <strong>
  Overview
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  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
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 The opportunity
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 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
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 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
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 <strong>
  Responsibilities
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  <br/>
 </strong>
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
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  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
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  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
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  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
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  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
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  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
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  <li>
   Provide pre-sales and post-sales technical support to the business development team.
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  </li>
 </ul>
 <strong>
  Qualifications
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 </strong>
 To qualify, you must have:
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   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
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   Minimum 8 years of experience in developing AI algorithms for various modalities
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  <li>
   Hands on expertise designing and implementing GenAI solutions on Azure
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   Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
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  <li>
   Hands on experience with python for prototyping and implementing GenAI solutions
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   Expertise optimizing advanced RAG architectures and designing information retrieval system
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   Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
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  <li>
   Understanding on the latest Agentic and RAG research and innovation areas
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  <li>
   Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
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  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
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  </li>
 </ul>
 Ideally, you&rsquo;ll also need
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 A highly curious and inquisitive approach to problem-solving
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 In-depth knowledge of the latest developments in AI and machine learning
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 What we look for
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 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
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 What working at Inception offers
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 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
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 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
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 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
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 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
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 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

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