3 months ago
Alameda, CA, USAStaff+
Base Salary
$151k - $178k/yr
Responsibilities
- Build in-house production systems that improve manufacturing prediction and response.
- Reconstruct equipment and process behavior from raw data to identify deviations.
- Develop systems to classify fault patterns and quantify operational risks.
- Turn raw manufacturing signals into reliable services that enhance uptime and yield.
- Build and deploy machine learning models for various manufacturing applications.
- Design and deploy production-grade APIs and internal tools for plant use.
- Partner with various teams to ensure technical soundness and operational relevance.
- Help define the architecture and roadmap for operations intelligence.
Requirements
- Bachelor’s, Master’s, or PhD in Engineering, Computer Science, or a related field.
- Strong programming skills in Python and experience with production-quality software.
- Experience with scientific computing and machine learning libraries.
- Experience building and deploying software services and data pipelines.
- Familiarity with industrial data types such as time-series and sensor data.
- Experience training and deploying custom models for various use cases.
- Strong systems thinking and ability to translate plant problems into solutions.
- Proven track record of taking technical systems from concept to deployment.
Tech Stack
Apache AirflowApache SparkdbtFastAPIFlaskNumPyPandasPythonPyTorchscikit-learnSciPySQLTensorFlowXGBoost