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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 Machine Learning (ML) Engineer who can create forecasting models that help quickly decarbonize the electricity system. This is the ideal role for someone who wants to use their programming skills in a fast-paced environment, enjoys learning every day, and enjoys bouncing ideas off coworkers and collaborating on tough problems. This is a role where you will see your ideas tested and quickly proven in real-world settings, and where you will be on the forefront of cutting-edge technology in a nascent space.
\nResponsibilities
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 careers@gridmatic.com.
Full Time
$137k-169k (estimate)
03/10/2024
07/11/2024
gridmatic.com
San Jose, CA
<25
The job skills required for Machine Learning Engineer include Computer Science, Python, Programming, Problem Solving, Integrity, Teamwork, etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.