Applied Researcher

3 days ago


San Francisco, California, United States Gridware Technologies Inc. Full time
Protecting the Grid, Enabling Innovation
Gridware Technologies Inc. is committed to enhancing and protecting the electrical grid, a critical infrastructure that underpins our modern world. By combining advanced sensing systems and machine learning algorithms, we aim to identify and mitigate potential faults, ensuring the reliability and safety of the grid.

Estimated Salary: $180,000 - $240,000 per annum

Role Summary
The Senior Applied Scientist specializing in ML DSP will play a pivotal role in driving our mission forward. With expertise in machine learning, digital signal processing, and algorithm design, you'll develop and evaluate models for multimodal time series sensor data on heavily resource-constrained systems. Your contributions will inform firmware implementation and deployment, ensuring the seamless integration of our solutions into the grid.

Responsibilities
  • Design and implement physically-informed data augmentation and domain randomization algorithms.
  • Conduct literature reviews and research on resource-constrained inference and training techniques.
  • Closely collaborate with cross-functional teams to drive project success.

Qualifications
Computer Science or Electrical Engineering degree
4+ years of professional experience with production machine learning models
4+ years of professional experience with physical sensors and time series data modeling
4+ years of research experience
Experience low-level languages and memory management
Strong fundamentals in statistics and computer science

Our Benefits
Flexible hours / hybrid schedule for those in the Bay Area
Health, Dental & Vision (Gold and Platinum plans fully covered)
Paid parental leave
Commuter allowance
Company-paid training
Gridware Technologies Inc. is an equal opportunity employer.

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