About Keeling Labs
Who We Are: We’re an applied ML research company squarely focused on solving climate change.
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We recently closed a $1.5M seed round
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We’re backed by Y Combinator (W23)
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Our founder previously started the Battery Data Science Team at Rivian
What We’re Building: We’re optimizing how large batteries in the grid buy and sell energy so that the grid can run on more renewables. To do this, we’re developing self-optimizing, self-adapting systems using reinforcement learning.
- You can learn more about how our code directly impacts the grid in our blog post here
Why It Matters: As the grid increasingly shifts to renewable energy from wind and solar, more and more large battery systems are needed to store that energy for times when there’s huge demand for energy but not enough supply. As a society, we have all the physical battery technology needed to do this, but the software technology that figures out when and how to optimally use the battery is still in its infancy.
There’s going to be a 15x increase in these large batteries by 2030, and they’re currently growing at 50% YoY. As the grid is fundamentally altered by the addition of these batteries, we need to ensure that we’re utilizing all of them to their full potential.
About the Role:
We're hiring for an innovative RL researcher to develop core agent technology, design agent experiments, and play a leading role in our RL development.
What You’ll Be Responsible For:
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Design core agents that power our energy products
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Study and improve agent performance by planning, executing, and iterating on different experiments
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Work closely with data engineers and data scientist to ensure efficient training and data ingestion
Requirements:
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PhD in Reinforcement Learning, or 5+ years of industry experience designing core RL technology
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Strong theoretical background in agent design, gradient-based algorithms
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Experience designing, building, and training agents from scratch
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Frameworks: Highly proficient in Tensorflow (preferred) or PyTorch, experience with JAX preferred
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Languages: Python
Keeling Labs
