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Covariant
Emeryville, CA, United States
THE COMPANY Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques. Success in the real world requ
Job Source: CovariantCourteasy
San Francisco, CA, United States
As a Research Scientist at Court Easy AI, you will be at the forefront of innovation, taking on the most complex knowledge work challenges globally, including billion-dollar litigations and corporate transactions. You'll work with the most sensitive data from the world's largest companies, pushing the boundaries of AI research, and solving unsolved
Job Source: CourteasyMarathon Fusion
San Francisco, CA, United States
Marathon Fusion is building the fuel cycle for fusion energy. We're accelerating the commercialization of critical technologies to ensure the safe and economic deployment of fusion energy at sufficient speed and scale to achieve climate impact. Our work requires a willingness to adapt to rapidly changing circumstances and shifting priorities, while
Job Source: Marathon FusionUniversity of California - San Francisco
San Francisco, CA, United States
Application Window Open date: September 27, 2023 Next review date: Wednesday, Jan 31, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Thursday, Mar 27, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review
Job Source: University of California - San FranciscoUnreal Gigs
San Francisco, CA, United States
Job Description Job Description Company Overview: Welcome to the forefront of innovation in machine learning! At our company, we're not just developing cutting-edge technologies; we're shaping the future of AI-driven solutions. Our mission is to revolutionize industries and empower businesses with the latest advancements in machine learning and
Job Source: Unreal GigsTavus Inc.
San Francisco, CA, United States
Description At Tavus , we're defining the next frontier of personalized video experiences using generative AI. We're a Series A startup that has raised over $25M from Sequoia, YCombinator and other top valley firms. Our mission is to enable scalable hyper-personalization of videos using best-in-class AI models. In the time it would take you to rec
Job Source: Tavus Inc.Anthropic
San Francisco, CA, United States
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the
Job Source: AnthropicAlldus
San Francisco, CA, United States
My Client is pioneering the future of Automation AI, developing an avant-garde platform that revolutionizes how repetitive tasks are identified and automated. Their system offers a groundbreaking "observe, learn, and automate" methodology, leveraging a foundational model to not only understand user behavior but to predict and automate mundane tasks
Job Source: AlldusSan Francisco, CA, United States
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Adobe Research is looking for research scientists working on generative AI models for image and video synthesis to help us build the next generation of creative tools. We are especially looking for experience in video generation. We seek candidates with strong expertise in the field, as evidenced by peer-reviewed academic publications, combined with hands-on industrial research experience.
As a Research Scientist at Adobe, you will be joining an outstanding team of researchers building the future of digital experiences. You will have the opportunity to develop novel ideas suitable for academic publication, to mentor interns, and to participate in our university collaboration program. We also work with product teams to implement those ideas as advanced features in Adobe's products and reach millions of people worldwide!
Job Responsibilities
* Conduct innovative research and development in Generative AI
* Develop and transfer novel technologies to Adobe products
* Research and develop novel large-scale foundation models in Generative AI
* Collaborate with extraordinary researchers and engineers to bring research ideas to production
* Publish and present your work in premier scientific venues in AI/ML or related fields
* Provide technical mentorship and guidance.
What you'll need to succeed
* Ph.D. in Computer Science, AI/ML or related fields
* Excellent publication record in Computer Science, AI/ML or related fields
* Excellent communication skills and a great teammate
* Experience in state-of-the-art Generative AI technologies, such as GAN and/or diffusion models
* Strong record of publications in image/video generation and image/video editing
* Experience with large-scale generative model training
* Preferred experience:
* working with large-scale datasets
* working with product teams on technology transfers
Our compensation reflects the cost of labor across several? U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position?is $129,400 -- $242,200 annually. Pay?within this range varies by work location?and may also depend on job-related knowledge, skills,?and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.
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Email Alert for Research Scientist jobs in San Francisco, CA, United States
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