Senior Applied Scientist
3 weeks ago
Gridware is a pioneering company that aims to enhance and protect the electrical grid, a critical infrastructure that underpins modern society. Our team of experts engineers advanced sensing systems to continuously analyze the electrical and mechanical behavior of grid assets, identifying potential faults and enabling preemptive mitigation.
With a strong focus on innovation and safety, Gridware is backed by top climate-tech and Silicon Valley investors and headquartered in the Bay Area, California.
Job DescriptionThe Senior Applied Scientist will play a key role in developing models for multimodal time series sensor data on resource-constrained computation systems. This involves evaluating and refining machine learning architectures, digital signal processing techniques, and algorithm design to ensure optimal performance.
Responsibilities- Design and prototype low-power physical sensing systems for detecting complex electromechanical phenomena
- Develop data acquisition and physical experimentation infrastructure to support research and development
- Conduct in-depth literature reviews and research on electronic sensing technologies to stay up-to-date with industry advancements
- Collaborate closely with cross-functional teams, including data scientists, mechanical engineers, and product managers to drive project success
- Computer Science or Electrical Engineering degree
- 4+ years of professional experience with production machine learning models
- 4+ years of experience with physical sensors and time series data modeling
- 4+ years of research experience
- Proficiency in low-level languages and memory management
- Strong fundamentals in statistics and computer science
- Flexible hours and hybrid schedule for those in the Bay Area
- Comprehensive health, dental, and vision benefits
- Paid parental leave and commuter allowance
- Company-paid training and professional development opportunities
Gridware is an equal opportunity employer committed to diversity and inclusion. We welcome applicants from 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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