Gridware

Gridware

ML Infrastructure Engineer

San Francisco, CA · Senior

No sponsorship$190k-$250kDetected 315 days ago
PythonAWSCloud PlatformsKubernetesCI/CDPlatform EngineeringMachine LearningData EngineeringMLOps

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 38 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the 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.
  • This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently.

Responsibilities

  • Design, build, and maintain the infrastructure, tooling, and workflows that enable reliable, scalable deployment of ML models to production.
  • Create and maintain end-to-end testing frameworks and simulation environments to validate models and pipelines prior to deployment.
  • 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.

Requirements

  • 5+ years of experience building production ML infrastructure
  • Strong software engineering skills and proficiency in Python
  • Experience with cloud platforms (AWS) and container orchestration (Kubernetes)
  • Familiarity with feature stores, model registries, or centralized metadata systems (i.e. MLFlow)
  • We're only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.** This describes the ideal candidate
  • many of us have picked up this expertise along the way.

Compensation

  • 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.

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
  • Develop monitoring and observability systems to track model performance, data drift, data quality, and overall system health.

Company info

  • This role is essential to helping scale out the amount of time saving's Gridware brings to customers.
  • Even if you meet only part of this list, we encourage you to apply!

Visa & Work Authorization

  • At this time, Gridware is unable to provide visa sponsorship or immigration support for this role.

This listing is sourced directly from Gridware's careers page and normalized into a canonical job model.