ML Engineer

Key Skills

Algorithms, Analytical and Problem solving, Data Modeling, Data structuring, Data Visualization, Effective communication skills, Forecasting, Keras software library, Linear Algebra, Machine learning techniques, Mathematical modeling, Probability, Python Programming, PyTorch, SQL, Statistical modeling

Job Description

We are looking for a Machine Learning (ML) Engineer who can create forecasting models that help quickly decarbonize the electricity system. Machine Learning Engineer responsibilities include creating and improving machine learning models in rapid succession. To do this job well, you’ll need exceptional skills in statistics and programming. You’ll also enjoy it more if you care about fighting climate change and learning about electricity markets.

Responsibilities

• Design State-of-the-Art machine learning models for the electricity system.
• Research and implement appropriate ML algorithms and tools.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments, creating constant model improvements.
• Perform hyperparameter tuning.
• Extend existing ML libraries and frameworks.

Requirements

• Proven experience as a Machine Learning Engineer or similar role.
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Python, SQL.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Excellent communication skills.
• Ability to work in a team.
• Outstanding analytical and problem-solving skills.
• BSc in Computer Science, Engineering, Mathematics or similar field; MS or 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 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.