Machine Learning Engineer

6 days ago


San Francisco, California, United States Gridware Technologies Inc. Full time
Company Overview
Gridware Technologies Inc. is a pioneering company that aims to enhance and protect the electrical grid, a critical infrastructure that powers our modern world. By leveraging advanced sensing systems and machine learning algorithms, Gridware seeks to identify and mitigate potential faults, ensuring the reliability and safety of the grid.

Estimated Salary: $160,000 - $200,000 per annum

Job Description
The Senior Applied Scientist specializing in ML DSP will play a key role in evaluating and developing models for multimodal time series sensor data on heavily resource-constrained computation systems. This includes executing end-to-end ML projects from exploratory data analysis to feature engineering and model evaluation, informing firmware implementation and deployment. The ideal candidate will possess deep knowledge of machine learning architectures, digital signal processing techniques, and algorithm design.

Responsibilities
  • 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.

Required Skills and 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

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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