ML Ops Engineer (Boston, MA)

Brief overview

Boston, MAIn-person

UndergradOr in progress

5+ yrsMinimum

1 H-1B approvalsDept. of Labor

PythonTypeScriptDockerKubernetesTerraformGoogle CloudAWSCI/CD pipelinesMachine learning modelsLLMsProtobufgRPCNext.JSReact.JSGitHub ActionsPostgreSQL

About the company

Foundation EGIfoundationegi.com

Meet the Al platform to Revolutionize Engineering. We started this company because manufacturing and engineering are overdue for a digital revolution.

Visa sponsorship history

1 year sponsoring, last filed FY2025

1H-1B approved

100%approval rate

1new H-1B hires

H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.

20251

Job description

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.