ML Ops Engineer

Posted pay

$120K–$160K

a year

Compared with similar jobs

This base pay is below the median for ML and AI engineering jobs that are remote in the US with no level in the job title.

Median: $193K a year
Other jobs in the group: 166

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Boston, MA
Work type: Remote
Level: Not given
Experience: 5+ years
Skills in the job text: Python
AWS
TypeScript
Kubernetes
GCP
Docker
Terraform
PostgreSQL
Grafana
gRPC
Next.js
Prometheus
Posted: May 14, 2026
Last check: 5 h ago
Job type: ML / AI engineering

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Foundation EGI

Open tech jobs: 3
With posted pay: 100%

About Foundation EGI: funding, hiring and pay

Foundation EGI

About Foundation EGI: funding, hiring and pay

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What you need

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.

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.

Nice to have

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

About Foundation EGI

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.

Read the job posting on the Foundation EGI site

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Source: the Foundation EGI Lever job board. We last checked this job 5 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

Foundation EGI

Open tech jobs: 3
With posted pay: 100%

About Foundation EGI: funding, hiring and pay

Compared with similar jobs

This base pay is below the median for ML and AI engineering jobs that are remote in the US with no level in the job title.

Median: $193K a year
Other jobs in the group: 166

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.