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Courteasy
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 FusionCovariant
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: CovariantUniversity 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 FranciscoAnthropic
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: AnthropicTavus 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.Unreal 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 GigsMarathon 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 FusionSan Francisco, CA, United States
Our mission Genmo makes it easy for anyone to create movies, as if it were magic. Using our web application, any user can create cinematic video using a simple text prompt.
We imagine a world where high-quality cinematic video content is as plentiful as water. Our mission is to empower the next billion video creators to tell their stories .
The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.
The role: As a Research Scientist, you will develop innovative new machine learning techniques in the domain of either large-language models or visual generative modeling. You will also collaborate with other teams at Genmo to ensure safe and robust deployment of our generative models.
We are looking for researchers who value simplicity and scale in the pursuit of general purpose foundation models for visual generative modeling.
Qualifications: Past track record of fundamental research into generative models across either visual domains or text. This probably will include some form of past published research to academic venues.
Ability to independently pursue open-ended research projects.
Experience working with ML models and especially generative models (LLMs, GANs, Diffusion, etc.)
They will work in an agile and fast-paced environment
A strong passion for artificial intelligence and the drive to learn new technologies.
PhD in Computer Science, Computational Neuroscience, Statistics or other related technical field.
Past academic background. Published 2+ papers in top Machine Learning or Computer Vision venues such as NeurIPS, ICML, ICLR, CVPR, or ECCV/ICCV.
Bonus points: Past experience in high-performance computing like distributed deep learning or GPU programming.
Strong will to attack hard programs in generative modeling alongside the rest of Genmo's research team.
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish .
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Email Alert for Research Scientist jobs in San Francisco, CA, United States
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