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Staff Applied ML Engineer
Sila Nanotechnologies · Alameda, CA · Posted 100 days ago
About Us
We are Sila, a next-generation battery materials company. Our mission is to power the world’s transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world?
Who You Are
You are excited to build the intelligence layer for manufacturing operations: systems that help the factory understand what is happening, predict what is likely to happen next, and respond earlier and better as a result.
You are a strong technical builder who likes hard problems with real operational consequences. You can take an ambiguous manufacturing problem and turn it into a working system that engineers and operations teams actually use.
You are comfortable working across software, data, engineering logic, and manufacturing systems. You know how to deal with noisy plant data, imperfect systems, and messy failure modes. You do not stop at visibility. You build systems that drive action.
We are looking for someone who has built and shipped systems that changed how an operation runs.
Build Manufacturing Intelligence Systems
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This posting is sourced from Sila Nanotechnologies's own career site — applying takes you there directly.
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This role is one of 567 Machine Learning Engineer openings and centers on Python, Machine Learning, Time Series Analysis, and Anomaly Detection. There are 27 open roles at Sila Nanotechnologies right now.
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