Senior Applied Scientist

San Francisco, California, United States

Gridware

Gridware provides utilities with the monitoring technology needed to modernize a safe, resilient, reliable and efficient electric grid.

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Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything, and when it grinds to a halt, the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.

Our team engineers an advanced sensing system to continuously analyze both the electrical and mechanical behavior of grid assets. Utilizing high-precision sensor arrays, the system identifies and allows preemptive mitigation of faults. The technology has been proven with utilities to bolster safety, reliability, and reduce customer outage durations. The demand for power will only increase. We protect the grid of today while we build the grid of tomorrow.

Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in the Bay Area in northern California.

Role Description:

The Senior Applied Scientist is responsible for evaluating and developing models for multimodal time series sensor data on heavily resource-constrained computation systems. The ideal candidate will possess deep knowledge of machine learning architectures, digital signal processing techniques, and algorithm design.

Responsibilities:

The Senior Applied Scientist will, as a starting point, be responsible for the following:

  • Prototype low power physical sensing systems for detecting complex electromechanical phenomena
  • Build data acquisition and physical experimentation infrastructure
  • Conduct literature reviews and research on electronic sensing technologies
  • Work closely with cross-functional teams, including data scientists, mechanical engineers and product managers

Required Skills:

  • 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

We encourage you to apply even if you don’t have all of the bonus skills listed above. We believe diverse perspectives drive innovation and growth.

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 is an equal opportunity employer. We want applicants of diverse backgrounds and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

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Category: Data Science Jobs

Tags: Architecture Computer Science Engineering Machine Learning ML models Research Statistics

Perks/benefits: Career development Flex hours Health care Parental leave Startup environment

Region: North America
Country: United States

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