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co.bot
Santa Clara, CA, United States
Are you passionate about shaping the future of artificial intelligence and machine learning in the robotics field? Our rapidly growing startup is looking for an AI Research Scientis t to join our Foundational Models AI team. This role is ideal for a recent PhD graduate eager to innovate and push the boundaries of AI technologies that will be integ
Job Source: co.botKLA-Belgium
Milpitas, CA, United States
Base Pay Range: $115,900.00 - $197,000.00Primary Location: USA-CA-Milpitas-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, leve
Job Source: KLA-BelgiumNTT Research Inc.
Sunnyvale, CA, United States
Job Summary Conduct (and direct) research project on quantum information and neural network.Maintain effective and appropriate communications among NTT RI colleagues and collaborated academic institutions. Conduct (and direct) research project on quantum information and neural network. Maintain effective and appropriate communications among NTT RI
Job Source: NTT Research Inc.Thetalkingmachines
Menlo Park, CA, United States
Send me a weekly email with the latest jobs. E-mail Leave this field blank Research Scientist (AI) Job Type Full Time Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the
Job Source: ThetalkingmachinesStanford Blood Center
Palo Alto, CA, United States
The Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition (Pediatric GI Division) is seeking a Research Scientist who will be involved directly in the design and execution of research to understand mechanisms of mucosal inflammation in pediatric inflammatory bowel disease (IBD) in the laboratory of Michael Rosen,
Job Source: Stanford Blood CenterAptos
Palo Alto, CA, United States
Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission
Job Source: AptosPenn Foster
Santa Clara, CA, United States
NVIDIA's technology is at the heart of AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and voice-powered intelligent assistants! Join a diverse applied research team that is building a next generation of Conversational AI systems! We work on new models for speech recognition, speech synthesi
Job Source: Penn FosterOtter.ai
Mountain View, CA, United States
Join us on our quest to make conversations more valuable! At Otter, we're fueled by the unwavering teamwork and dedication of our employees. Our collective passion drives us to lead with AI innovation, inspired by a sense of urgency in everything we do . Through collaborative effort and a spirit of innovation we strive to push the boundaries
Job Source: Otter.aiCupertino, CA, United States
Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence.
We are looking for a Senior AI Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of forecasting techniques, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new technologies to better solve problems we already model, as well as designing solutions to problems we don’t yet solve. In addition, they will work to generalize these solutions so they can be applied more broadly, including on academic datasets for the purpose of sharing with the academic community via publication. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.
What you might work on Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems.
Keep abreast of latest advances in ML research in order to consider if any new methods are especially promising for problems in the electricity market space.
Generalize and unify problem frameworks across electricity markets.
Design, perform, and analyze experiments for new ML techniques, as well as consult on those tasks for others on the ML team
Applying cutting edge ML techniques to problems in the energy space.
Promote probabilistic thinking and rigor in statistical testing across the company.
Author research papers in the fields of generative modeling / forecasting / decision making under uncertainty.
Write, optimize and review code, with attention to performance and readability.
You might be a good fit if you: have a strong publication record: NeurIPS, ICLR, ICML; and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues.
have earned a PhD in ML, statistics or related quantitative modeling field.
have deep knowledge of math, probability, statistics and algorithms.
show proven experience researching and implementing relevant machine learning models.
are able to write robust code in Python.
are familiar with ML frameworks (like PyTorch or TensorFlow) and libraries (like scikit-learn).
have outstanding analytical and problem-solving skills.
have excellent mentorship, communication, and teamwork skills.
have enthusiasm for learning.Knowledge of the energy industry a strong plus.
$185,000 - $225,000 a year FAQ
What’s your policy on remote work?
We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.
How does the interview process work?
We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.
Join our team and make a difference! Click below or email us at [email protected].
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Email Alert for AI Research Scientist jobs in Cupertino, CA, United States
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