Posted on:May 14, 2026
ML Ops Engineer (Boston, MA) at Foundation EGI
Foundation EGI is hiring a ML Ops Engineer (Boston, MA) in Boston, MA, US. Remote.
About Foundation EGI
Foundation EGI is an AI platform that automates engineering documentation, technical drawings, parts catalogs, and process planning for manufacturing. It uses domain-specific AI to transform 3D designs into precise technical drawings and workstep sequences. The company is building an AI copilot for design and manufacturing, aiming to reduce costs and improve engineering productivity across the design and manufacturing process.
ML Ops Engineer (Boston, MA) 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.
What we're looking for
Bonus Points
Our tech stack
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Applications go straight to Foundation EGI. We never sit between you and the employer.
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