Gridware

ML Infrastructure Engineer

San Francisco, CA Full-Time On-site
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Job Description

About Gridware

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io. Role Description

As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure around model deployment and monitoring. This role is essential to helping scale out the amount of time saving’s Gridware brings to customers.

Frequently Asked Questions

What does the ML Infrastructure Engineer role at Gridware involve?

The ML Infrastructure Engineer position at Gridware in San Francisco, CA is a full-time role. About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

What skills are required for ML Infrastructure Engineer at Gridware?

Please refer to the full job description for required skills and qualifications.

What is the salary for ML Infrastructure Engineer at Gridware?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the ML Infrastructure Engineer position at Gridware remote or on-site?

This position is On-site. The role is based in San Francisco, CA.

How do I apply for ML Infrastructure Engineer at Gridware?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

ML Infrastructure Engineer at Gridware is a full-time devops & cloud position in San Francisco, CA. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as on-site and is suitable for mid level-level professionals. Ghost Score 20/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.