Staff AI Software Engineer - $169,000 - $229,000K pa - Menlo Park, CA
The Role
Are you skilled at implementing cutting-edge AI algorithms for production environments? If so, we have an exciting opportunity for you.
Element Energy's AI team is seeking a Senior Member of Technical Staff for their AI group. The person will be responsible for prototyping and production deployment of advanced AI algorithms for battery management products.
The successful candidates' role will include working with large-scale data processing and implementing algorithms for supervised and unsupervised problems. The production software will run on computing infrastructure on managed cloud services such as AWS (Amazon Web Services) and miniaturized to run on embedded edge HW.
Key Responsibilities:
- Manage and analyze large-scale time series battery data.
- Design and implement AI models using Python, Pandas, Numpy, Sklearn, Tensorflow/PyTorch.
- Deploy AI models on managed cloud services like AWS and GCP.
- Develop high-quality code with unit tests and regression tests.
- Collaborate closely with battery scientists and cross-functional teams.
- Troubleshoot and debug software and system-related issues.
- Document engineering requirements and design specifications.
The Company
Element Energy, a groundbreaking startup, is at the forefront of energy storage and battery management innovation. Our game-changing algorithms and patented control systems tackle critical issues of battery safety and performance that are key to the multi-billion-dollar industries of large-scale grid storage and electric vehicle batteries. Our products not only reduce the risk of severe battery fires, but also enhance performance and lifespan, contributing significantly to the global shift towards renewable energy and the electrification of everything.
The Person
- Hand-on expertise in implementing and deploying AI algorithms for production.
- MS/PhD in CS/EE/Physics/Chemical or related engineering degrees with >3 years of industry experience.
- Excellent programming skills in Python, Pandas, Numpy, Sklearn, Tensorflow/PyTorch.
- Excellent understanding of ML/DL algorithms such as GPR, SVM, RF, XGBoost, CNN, RNN, LSTM etc.
- Extensive experience with scalable/distributed training on exceptionally large datasets using Tensorflow/PyTorch.
- Extensive experience with time-series modeling using LSTM, Transformers.
- Extensive experience with Linux-based dev environment.
- Extensive experience with Git and agile software development.
- Excellent written and verbal communication and Team player.
If the thought of joining this exciting, forward-thinking company and taking the next step in your career sounds appealing to you, then please click the apply now button to find out more.