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Open nowPosted 148 days ago

ML Ops Engineer

Foundation EGI4 open roles

Pay
$120,000 – $160,000 a year
Where
Boston, MA
Work mode
Remote
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Your applicationOpen nowML Ops EngineerFoundation EGI · Boston, MA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Foundation EGI's own form.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Foundation EGI postings stay open a median of 9 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 148 days ago

Foundation EGI median: 9 days open

The posting

Requirements:

  • Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWS.
  • Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift.
  • Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent.
  • Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers.
  • Write clean, well-documented, fast, and maintainable code.
  • Help ensure our systems have high availability and performance.
  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.

About Us:

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

What we're looking for

  • BS in Computer Science or a related field.
  • 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
  • Expert-level Python and TypeScripts skills.
  • Experience with Docker, Kubernetes, Terraform, Google Cloud and AWS.
  • Deep understanding of machine learning models, including LLMs.
  • Experience designing and maintaining CI/CD pipelines to fine-tune or train ML models.
  • Excellent written and verbal communication skills.

Bonus Points

  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.

Our tech stack

  • Google Cloud, AWS
  • Python, TypeScript
  • Protobuf, gRPC
  • Next.JS, React.JS
  • GitHub Actions
  • Docker, Kubernetes, Spinnaker
  • PostgreSQL
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