Staff ML Platform Engineer: Scale & Deploy AI for Grids

Staff ML Platform Engineer: Scale & Deploy AI for Grids

Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Own the infrastructure for fast, reliable ML delivery across geographies.
  • Company: Join Neara, a leader in climate resilience technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Dynamic role blending research and production in a collaborative environment.
  • Why this job: Make a real impact on global utilities with cutting-edge AI solutions.
  • Qualifications: Experience in ML platforms and strong problem-solving skills.

The predicted salary is between 123750 - 151250 $ per year.

Neara is seeking a Staff ML Platform Engineer to own the infrastructure enabling fast, reliable, scalable ML delivery across geographies.

You’ll shape training pipelines, serving architecture, and monitoring while guiding cross‑team choices.

You’ll work on multi‑modal spatial models with geospatial data and point cloud, deploying solutions for global utilities.

The role blends research with production, delivering real climate resilience through cutting‑edge technology.

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Staff ML Platform Engineer: Scale & Deploy AI for Grids employer: Matchbox

At Firmus Technologies, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of Sydney. Our commitment to employee growth is evident through hands-on opportunities to shape the future of AI infrastructure, with direct access to leadership and minimal bureaucracy. Join us to be part of a pioneering team where your contributions have a meaningful impact on both the business and the communities we serve.

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Contact Details:

Matchbox Recruitment Team

We think you need these skills to ace Staff ML Platform Engineer: Scale & Deploy AI for Grids

Machine Learning
Infrastructure Management
Scalable ML Delivery
Training Pipelines
Serving Architecture
Monitoring
Geospatial Data Analysis