What are the responsibilities and job description for the Senior Applied Scientist, ML DSP position at Gridware?
About Gridware
Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything and the consequences can be dire when it fails: wildfires burn, land is destroyed, property is damaged, and lives are lost.
Our team created an advanced sensing system to continuously analyze critical grid behavior. Utilizing high-precision sensor arrays and intelligence, our system identifies and preemptively mitigates faults. The technology has been proven with utilities to bolster safety, enhance reliability, and reduce outages. 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 San Francisco, California.
Role Description:
The Senior Applied Scientist specializing in ML DSP (Machine Learning with Digital Signal Processing) 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.
\n- The Senior Applied Scientist will, as a starting point, be responsible for the following:
- Execute end-to-end ML projects from exploratory data analysis to feature engineering and model evaluation, and inform firmware implementation and deployment.
- Design and build physically-informed data augmentation and domain randomization algorithms.
- Conduct literature reviews and research on resource-constrained inference and training techniques.
- Work closely with cross-functional teams, including hardware engineers, firmware engineers, and product managers.
- 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 c
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans 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
