ai/ml - machine learning research engineer, machine translation Jobs in Seattle

ai/ml - machine learning research engineer, machine translation

aiml - machine learning researcher, mlr Jobs in Seattle

aiml - machine learning researcher, mlr

aiml - principal ml engineer/scientist, image/video generation and multimodal foundation models Jobs in Seattle

aiml - principal ml engineer/scientist, image/video generation and multimodal foundation models

aiml - visual designer

applied machine learning researcher - multimodal foundation models Jobs in Seattle

applied machine learning researcher - multimodal foundation models

aiml principal ml engineer scientist image video generation and multimodal foundation models

Apple

<div>We are hiring an area lead with strong technical background in Image/Video/3D generation and Multimodal Foundation Models. You will play a critical role in driving the technical directions and building multimodal foundation models for image/video/3D generation, editing, animation and many more. As a member of the team, you will have the opportunity to drive fundamental capabilities, lead teams to work on ambitious projects and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users.<br>
<br>
<b>Description</b><br>
<br>
We are a fast-paced group focusing on model, data and applied research on vision and multimodal foundation models. We are looking for technical leads and managers who have: * Strong technical background and hand-on experiences in machine learning, computer vision and foundation models * 5+ years of experience in managing or tech lead big teams of ML engineers, successfully driving team&rsquo;s mission, execution and growth * 5+ years of experience in driving complex projects and shipping products * Strong communication skills and collaborating with x-functional teams In this role, you&rsquo;ll have the opportunity to drive roadmaps, propose your own research plan to advance Image/Video/3D generation models and technologies. You&rsquo;ll provide technical mentorship and guidance to the team and drive execution. You will have the opportunity to collaborate with broader teams across Apple.<br>
<br>
<b>Minimum Qualifications</b><br>
<ul><li>
PhD, MS or equivalent experience</li><li>
Hands on experience in building Image/Video/3D generation and multimodal foundation models</li><li>
5+ years of experience in managing or leading 20+ engineer teams</li><li>
Excellent communication and interpersonal skills</li><li>
Excellent understanding of an ML-based product lifecycle.</li><li>
Hands-on experience in data mining and data curation</li><li>
Proficiency in one of following languages: Python, Go, Java, C++</li></ul><br>
<b>
Preferred Qualifications</b><br>
<ul><li>
Strong experience leading and/or collaborating with a breadth of product areas simultaneously</li><li>
Passion for product and user experience</li><li>
Hands-on experience delivering large-scale products or platforms, leveraging cross-functional partnerships to drive outcomes across multiple organizations</li><li>
Strong experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.</li><li>
Strong history of delivering innovation</li><li>
Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making</li><li>
Experience with VP-level presentations and reporting</li></ul><br>
<b>
Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $367,400, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
Submit Resume</div>

AIML - Principal ML Engineer/Scientist, Image/Video Generation and Multimodal Foundation Models

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products &amp; experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop state of the art solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for a machine learning researcher to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.<br>
<br>
<b>Description</b><br>
<br>
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.<br>
<br>
<b>Minimum Qualifications</b><br>
<ul><li>
Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.)</li><li>
Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX</li><li>
Experience with rapid prototyping, reproduction, and validation of research ideas</li><li>
Ability to work in a collaborative environment</li><li>
Ability to communicate the results of analyses in a clear and effective manner</li><li>
BS and a minimum of 3 years relevant industry experience.</li></ul><br>
<b>
Preferred Qualifications</b><br>
<ul><li>
Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.</li><li>
Track record of translating research into practical applications either through published work or industry experience.</li><li>
Deep expertise in multimodal foundation models, with a focus on practical applications.</li><li>
Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems.</li><li>
Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems.</li><li>
Experience bridging research ideas with production constraints.</li></ul><br>
<b>
Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
Submit Resume</div>

Applied Machine Learning Researcher - Multimodal Foundation Models

Amazon.com

<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 add-on subscriptions such as Apple TV+, Max, 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.<br>
<br>
As a Prime Video technologist, 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>
We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Applied Scientist within this initiative, you will be a technical leader helping to design and build the intelligent systems that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient agentic AI and ML solutions from the ground up. You will not only write high-quality, maintainable software and models, but also mentor other scientists, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead the design and architecture of highly scalable, available, and resilient services for our AI automation platform.</li><li>Write high-quality, maintainable, and robust code to solve complex business problems, building flexible systems without over-engineering.</li><li>Act as a technical leader and mentor for other engineers on the team, assisting with career growth and encouraging excellence.</li><li>Work through ambiguous requirements, cut through complexity, and translate business needs into scalable technical solutions.</li><li>Take ownership of the full software development lifecycle, including design, testing, deployment, and operations.</li><li>Work closely with product managers, scientists, and other engineers to build and launch new features and systems.</li></ul><br>
About the team<br>
This role offers a unique opportunity to shape the future of one of Amazon's most exciting businesses through the application of AI technologies. If you're passionate about leveraging AI to drive real-world impact at massive scale, we want to hear from you.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<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, AI Automation, Prime Video

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Shape the Future of AI Accelerators at AWS Neuron<br>
<br>
Join the elite team behind AWS Neuron&mdash;the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.<br>
<br>
What You'll Impact:<br>
<ul><li>Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen</li><li>Optimize breakthrough language and vision generative AI models</li><li>Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration</li><li>Drive performance benchmarking and tuning that directly impacts millions of inference calls globally</li></ul><br>
Key job responsibilities<br>
You will drive the Evolution of Distributed AI at AWS Neuron<br>
<br>
As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization&mdash;it's about revolutionizing how AI models run at scale.<br>
<br>
Technical Impact You'll Drive:<br>
<ul><li>Spearhead distributed inference architecture for PyTorch and JAX using XLA</li><li>Engineer breakthrough performance optimizations for AWS Trainium and Inferentia</li><li>Develop ML tools to enhance LLM accuracy and efficiency</li><li>Transform complex tensor operations into highly optimized hardware implementations</li><li>Pioneer benchmarking methodologies that shape next-gen AI accelerator design</li></ul><br>
What Makes This Role Unique:<br>
<ul><li>Direct influence on AWS's AI infrastructure used by thousands of ML applications</li><li>Full-stack optimization from high-level frameworks to hardware-specific primitives</li><li>Creation of tools and frameworks that define industry standards for ML deployment</li><li>Collaboration with both open-source ML communities and hardware architecture teams</li></ul><br>
Your Technical Arsenal Should Include:<br>
<ul><li>Deep expertise in Python and ML framework internals</li><li>Strong understanding of distributed systems and ML optimization</li><li>Passion for performance tuning and system architecture</li></ul><br>
A day in the life<br>
Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
<br>
Mentorship &amp; Career Growth<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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.<br>
<br>
About the team<br>
At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.<br>
We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware. Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.<br>
We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.</div><h2 class="jobSectionHeader"><b>
BASIC 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>5+ years of programming experience using Python or C++ and PyTorch.</li><li>Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>Master's degree in machine learning or equivalent</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Experience in developing CUDA kernels, HPC and inference optimization, tensors operations</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 $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 Engineer- AI/ML, AWS Neuron Apps

<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 add-on subscriptions such as Apple TV+, Max, 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.
<br>
<br>
As a Prime Video technologist, 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>
<br>
<br>
Key job responsibilities<br>
<ul><li>Develop ML models for various recommendation &amp; search systems using deep learning, online learning, and optimization methods</li><li>Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li><li>Publish your research findings in top conferences and journals</li></ul><br>
A day in the life<br>
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.
<br>
<br>
About the team<br>
Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience 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>

Applied Scientist II, Prime Video Personalization and Discovery Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
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>
Key job responsibilities<br>
The Principal Applied Scientist will drive transformative innovation in Sponsored Products and Brands (SPB) auction design across non-search surfaces, including product detail pages, the home page, and specialty stores. This role will be pivotal in rethinking how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. The key responsibilities include but are not limited to:<br>
<br>
Improving Auction Mechanism: The Principal Scientist will reimagine auction mechanisms to holistically optimize business drivers, shopper needs, and ad placement across non-search pages. This involves developing new auction functions through both offline simulation and online testing that consider ad relevance, ads revenue, and advertiser demand, while remaining sensitive to seasonality and bespoke shopping experiences. Moreover, they will also design, prototype and iterate models that continually improve efficiency and effectiveness of ad inventory allocation with the objective of maximizing value delivered for both shoppers and advertisers, while consistently delivering a clear customer value proposition.<br>
<br>
Advancing Scientific and Technical Capabilities: As a senior leader, the Principal Scientist will play a critical role in elevating the team&rsquo;s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. They will establish a long-term vision for continued scientific innovation, setting strategic goals to future-proof the organization&rsquo;s technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally, the scientist will mentor and guide junior scientists and engineers, fostering a culture of excellence and continuous learning to enhance the organization&rsquo;s ability to solve complex problems in advertising science.<br>
<br>
Through his/her work, the Principal Applied Scientist will directly impact key business metrics by improving ad relevance and auction efficiency, ultimately contributing to revenue growth, improved customer satisfaction, and differentiated shopper experiences.<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.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of hands-on work in predictive modeling and analysis experience</li><li>PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field</li><li>Experience working in predictive modeling and analysis</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>10+ years of relevant work in industry or academia experience</li><li>Knowledge of problem solving, algorithm design and complexity analysis</li><li>Experience creating novel algorithms and advancing the state of the art</li><li>Have peer-reviewed scientific contributions in premier journals and conferences</li><li>Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives</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 $179,000/year in our lowest geographic market up to $309,400/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>

Principal Applied Scientist, Sponsored Products and Brands Off-Search

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
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>
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Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
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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>
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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!akes you!<br>
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Key job responsibilities<br>
The ideal candidate will apply state of art natural language processing and computer vision research to video centric digital media and will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent. The candidate will lead a team of applied scientist and lead the research direction, create roadmaps for forward-looking research and communicate them to senior leadership. The person will hire and develop the applied scientist and grow the science team to meet the always increasing needs of our customers.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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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Pursuant to the San Francisco 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 $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 - Content Understanding, Localization & Enrichment Team

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