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SeniorFull-timePythonMachine LearningCI/CDML
Salary Range
$190,000 - $205,000 /year
About the Role
We are looking for a Machine Learning Engineer to join Gridware, a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. You will work on developing algorithms that improve the speed, accuracy, and reliability of automated hazard detection systems.
Key Responsibilities
- →Develop algorithms that improve the speed, accuracy, and reliability of Gridware’s automated hazard detection systems
- →Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics
- →Design models that are robust, interpretable, and deployable in production environments
- →Write clean, scalable, well-tested Python code that integrates into a large shared codebase
- →Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment
- →Translate complex analyses into clear insights for engineers, operators, and leadership
- →Collaborate cross-functionally with software, data engineering, product, and event-reporting teams
Requirements
- ✓5+ years of experience in machine learning, signal processing, or applied physics in production environments
- ✓Strong programming skills in Python and experience contributing to large, shared codebases
- ✓Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
- ✓Excellent written and verbal communication, especially explaining data and models clearly
Benefits
- ★Health, Dental & Vision insurance (Gold and Platinum plans with some providers fully covered)
- ★Paid parental leave
- ★Alternating day off (every other Monday)
- ★"Off the Grid", a two-week per year paid break for all employees
- ★Commuter allowance
- ★Company-paid training
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