AI Researcher

Key Skills

Analytical and Problem solving, Data Modeling, Data structuring, Effective communication skills, Julia, Keras software library, Machine learning techniques, Python Programming, PyTorch, Scikit-learn

Job Description

We are looking for an AI Researcher who is capable of expanding the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves investigating new types of technologies to solve problems we already solve, as well as designing solutions to problems we don’t yet solve. This job requires the ability to develop a deep understanding of the relevant topics and then rapidly carry out experiments to determine whether certain methods could form effective solutions. A love of learning is an absolute must for this role, as it requires constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.

Responsibilities

• Applying cutting edge ML and optimization techniques to problems in the energy space.
• Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems.
• Identify, formulate, and solve optimization problems related to portfolio optimization and real time control of devices on the grid.
• Keep abreast of latest advances in ML and optimization 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.

Requirements

• Proven experience researching and implementing relevant machine learning models.
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Python or Julia.
• Familiarity with ML frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Outstanding analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Enthusiasm for learning.
• BSc in Computer Science, Mathematics or similar field; PhD is a plus.

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 schedule a meeting with the team where the first hour is spent with you giving a talk on your area of expertise, followed by the team describing our work. Finally, we schedule 1:1 conversations with various members of the team.

Join our team and make a difference! Click below or email us at careers@gridmatic.com.