AI Research Scientist in Cupertino

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Job DescriptionJob DescriptionThe CompanyGridmatic 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. At Gridmatic, we foster a collaborative and inclusive culture where learning and growth are constant. We move quickly, solve problems with integrity, and balance environmental responsibility with data-driven excellence.
The RoleWe are looking for an 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

• Design and implement state of the art deep generative models to capture distributions of quantities in the energy markets
• Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems
• Design, perform, and analyze experiments for new ML techniques, as well as consult on those tasks for others on the ML team
• 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 to utilize the same solutions across markets
• Author research papers in the fields of generative modeling / forecasting / decision making under uncertainty

You might be a good fit if you:

• PhD in ML, statistics, or a related quantitative modeling field
• A strong publication record: NeurIPS, ICLR, ICML; and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues.
• Proven experience researching and implementing deep learning models
• Enthusiasm for learning
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Fluency in Python and machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, numpy, and pandas).
• Excellent skills in communication and teamwork
• Outstanding analytical and problem-solving skills

Not including Options
Taking care of you today:- Continuing Education Opportunities- Flexible PTO- Medical, Dental and Vision plans with competitive employer contributions- Pre-Tax commuter benefits- $1500/year non profit donation matching program through Millie- Home Office Stipend
Protecting your future for you and your family:- 401K contribution match up to 4%- Company-paid parental leave- Company Paid Life Insurance
#LI-DNIFAQ
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 careers@gridmatic.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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