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Nashville, Tennessee
Conference
CVPR 2025
June 11 - 15, 2025
Nashville, Tennessee

Overview

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.

Sponsorship Details

Platinum
Booth 1001
Conference website
Related content

Accepted publications

Meet a scientist

Friday, June 13
June 13
10:00am - 10:30am
Research domains
- Computer vision
- Machine learning
- MLLMs
- Robotics

10:30am - 11:00am
Research domains
- Agents
- Autonomous robots
- Computer vision
- Embodied AI
- Estimation
- Gen AI
- Information retrieval
- Mapping
- MLLMs
- Robotic perception

11:00am - 11:30am
Research domains
- 3D vision
- Autonomous vehicles
- Computer vision
- Foundation models
- Geospatial
- Machine learning
- Manipulation
- MLLMs

11:30am - 12:00pm
Research domains
- Computer vision
- LLMs
- Machine learning
- Tamper media detection
- Visual document understanding

2:00pm - 2:30pm
Research domains
- Computer vision
- Embodied AI
- Machine learning
- MLLMs
- Multimodal
Saturday, June 14
June 14
10:00am - 10:30am
Research domains
- Autonomous vehicles
- Computer vision
- Foundation models

10:30am - 11:00am
Research domains
- Audio/Visual Gen AI
- 3D vision
- Autonomous robots
- Computer vision
- Embodied AI
- Machine learning
- MLLMs
- Robotics
- Robotic perception

11:00am - 11:30am
Research domains
- Agents
- Computer vision
- Gen AI
- LLMs
- Machine learning
- MLLMs
- Multimodal search
- Robotics

11:30am - 12:00pm
Research domains
- Agents
- Computer vision
- Estimation
- Few-shot learning
- Gen AI
- LLMs
- Localization
- Mapping
- MLLMs
- Multimodal
- VLM

2:00pm - 2:30pm
Research domains
- Computer vision
- Machine learning
- Tamper media detection
- Video super resolution
- Visual document understanding
Sunday, June 15
June 15
10:00am - 10:30am
Research domains
- Autonomous vehicles
- Computer vision
- Foundation models
- MLLMs
- Video super resolution
- VLM

10:30am - 11:00am
Research domains
- Computer vision
- Gen AI
- Machine learning
- Manipulation
- MLLMs
- Robotics

11:00am - 11:30am
Research domains
- 3D Vision
- Agents
- Computer vision
- LLMs
- Localization
- Machine learning
- MLLMs

11:30am - 12:00pm
Research domains
- Agents
- Computer vision
- Diffusion
- MLLMs

2:00pm - 2:30pm
Research domains
- Computer vision
- Embodied perception
- Information retrieval
- LLMs
- Machine learning
- MLLMs

Work with us

Internships can be found through Amazon.jobs. For available position(s) that match your science interest and degree you can apply here. Note: Our recruiting team will review applications for team matches and be in contact when there is a potential fit.
Applied Scientist, Prime Video - Content Understanding and Enrichment
US, WA, Seattle
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 – 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. 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’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’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’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! Key job responsibilities As an Applied Scientist in the Content Understanding Team, you will lead the end-to-end research and deployment of video and multi-modal models applied to a variety of downstream applications. More specifically, you will: - Work backwards from customer problems to research and design scientific approaches for solving them - 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 - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals About the team Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation.
Principal Applied Scientist, Sponsored Products, Advertiser GenAI
US, CA, Palo Alto
Amazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of GenAI/LLM powered self-service performance advertising products that drive discovery and sales. Our products are strategically important to Amazon’s Selling Partners and key to driving their long-term growth. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. This position will be part of the Advertiser Growth organization within Sponsored Products. Our team focuses on launching GenAI initiatives that help advertisers create and manage performant SP campaigns. We develop AI powered experiences to help advertisers use advertising effectively and develop state-of-art ML based optimization services to represent our advertisers in the SP marketplace. We strive to improve the ability for advertisers to help shoppers discover relevant products on customer search, browse and detail pages. Key job responsibilities • Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using GenAI, LLM, and ML solutions. • Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in AI/ML. • Design and lead organization-wide AI/ML roadmaps to help our Amazon shoppers have a delightful shopping experience while creating long term value for our advertisers. • Work with our engineering partners and draw upon your experience to meet latency and other system constraints. • Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver. • Be responsible for communicating our Generative AI/ Traditional AI/ML innovations to the broader internal & external scientific community.
Principal Applied Scientist, Sponsored Products, Amazon Sponsored Products
US, WA, Seattle
Amazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to Amazon’s Selling Partners and key to driving their long-term growth. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. This position will be part of the Advertiser Growth organization within Sponsored Products. Our team focuses on launching innovative controls that help advertisers create and manage performant SP campaigns. We develop recommendations to help advertisers use these controls effectively and develop state-of-art ML based optimization services to represent our advertisers in the SP marketplace. We strive to improve the ability for advertisers to help shoppers discover relevant products on customer search, browse and detail pages. Key job responsibilities • Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI/ML solutions. • Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML. • Design and lead organization-wide ML roadmaps to help our Amazon shoppers have a delightful shopping experience while creating long term value for our advertisers. • Work with our engineering partners and draw upon your experience to meet latency and other system constraints. • Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver. • Be responsible for communicating our AI/ML innovations to the broader internal & external scientific community.
Principal Applied Scientist, APM Stores
US, NY, New York
Our team drives innovation for the onsite retail shopping site publisher. We collaborate and influence the advertising science community at Amazon across the entire Ads stack— sourcing and ranking ads, bidding into and pricing in the ads auction, experimentation design to measure causal impact of showing ads on shoppers and Amazon vendors, creative development with GenAI, and more. If you’re interested in joining a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. As we continue building to out our team, we are looking for a Principal Applied Scientist, to lead research, design, experiment and implementation of cutting edge algorithms for complex Stores Display publisher use cases. You will collaborate with Amazon demand programs and front-end teams to influence how the entire advertising stack works end-to-end. You will work with business and finance teams to design experiments that inform tradeoffs across advertiser and shopper goals. You will work collaboratively with software engineers, data engineers, and other scientists on the team to deploy production algorithms that support the billions of ad auctions run daily and set a high bar for science and engineering excellence. This is a rare opportunity to be a foundational member with huge potential for impact and innovating new user experiences at Amazon. Why you will love this opportunity: Despite being part of a large business, we embrace a start-up mentality. This is an opportunity for massive impact and affords a lot of autonomy. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Key job responsibilities As a Principal Applied Scientist on this team, you will: - Be the technical science leader on the org; leading efforts within the team and across other teams. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and retail merchandise sales, without compromising the shopper experience. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Recruit Applied Scientists to the team and provide mentorship. About the team Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on some of the most valued advertising real estate on the internet on the Amazon.com store. We start with the customer and work backwards in everything we do, including advertising.
Principal Applied Scientist, AGI Foundations
US, CA, Sunnyvale
As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
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