The Role: Machine Learning Engineer
We are looking for machine learning engineers to help design and implement cutting-edge machine learning technologies that power innovative products for teams, leagues, and fans.
We have an office in LA but are open to remote, US-based candidates.
Responsibilities & Duties
Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and software that can generate sports data and insights with high accuracy and low latency
Build, test, deploy, and maintain production code
Maintain and promote best practices for software development, including deployment process, documentation and coding standards
Our Stack
Languages: Python, Rust
Frameworks: PyTorch, PyTorch Lightning, Keras, TensorFlow, scikit-learn, xarray, pandas
Infrastructure, tools: AWS (S3, EC2), Docker, Pulsar, Grafana, Pachyderm
Version control: Git
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