---
title: 'ML Ops Engineer (Boston, MA) at Foundation EGI'
canonical: 'https://feeny.ai/job/ml-ops-engineer-boston-ma-foundation-egi-boston-wyk91nsfjv15'
type: 'job'
last_seen: '2026-09-09'
---

# ML Ops Engineer (Boston, MA) at Foundation EGI

- **Company:** Foundation EGI
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-14
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.lever.co/foundation-llm-technologies/29e7cd26-c574-48ab-be4c-d18f3bb8ca37

## 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

- 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](http://Next.JS), [React.JS](http://React.JS)
- GitHub Actions
- Docker, Kubernetes, Spinnaker
- PostgreSQL

## About Foundation EGI

## Company Overview
- **One-liner**: Foundation EGI is an AI platform that automates how manufacturers create, manage, and distribute technical documentation — transforming 3D CAD designs into technical drawings, workstep sequences, product catalogs, and multilingual manuals.
- **Entity Type**: Private (funding stage not publicly disclosed; "backed by top VCs" as of 2025)
- **Headquarters**: Not explicitly disclosed — remote-friendly company with roots at MIT CSAIL (Cambridge, MA, USA) and leadership based in the San Francisco Bay Area (Los Altos, CA)
- **Founded**: 2023 (incorporated late 2023; research began at MIT CSAIL in 2022)
- **Founders**: Dr. Mok Oh (Co-founder & CEO), Prof. Wojciech Matusik (Co-founder & Chief Scientist), Michael Foshey (Co-founder & Head of Research)

## Core Business
- **Primary industries**: AI for manufacturing / engineering software ("engineering intelligence"); technical documentation automation for physical product companies
- **Target customers**: B2B, enterprise — manufacturers and companies that build physical products
- **Mission**: "Building the AI layer for physical engineering" — the company states: "We believe the companies building physical products deserve tools as intelligent as the products they build."

## Products & Services
The EGI Platform ("Engineering Automation") is the core offering, a SaaS/AI platform with four major modules:

- **Production-ready drawings from CAD**: Instantly generates GD&T technical drawings with accurate views and dimensions, AI-assisted feature detection/annotation, and standards-compliant output — eliminating manual drafting bottlenecks.
- **Workstep sequences**: Automatically generates optimized workstep sequencing and production plans from CAD geometry, with interference/tooling clearance validation and automated diff analysis between model revisions.
- **Product catalogs from CAD**: Generates precise 2D and 3D product catalogs directly from CAD designs, ready to publish when designs are finalized.
- **Technical manuals**: Produces operator and service manuals in multiple languages with full technical precision, no lost context or manual reformatting between revisions.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric (Private)**: Total funding not disclosed — company site confirms "top VCs" backing as of 2025 but does not name investors or amounts
- **Notable Investors/Partners**: Not named publicly on the company site; investors described only as "Top VCs"
- **Growth Signals**:
  - Research began at MIT CSAIL in 2022; incorporated late 2023
  - First enterprise customer landed in 2024
  - Platform expansion and VC backing in 2025
  - Actively hiring across engineering, product, and research (open roles listed on Lever)
  - Leadership team includes executives formerly at Mercari, Samsung, PayPal, Apple, Honda Drivemode, Flexport, Rakuten, and Viki

## Competitive Advantages
- **MIT CSAIL research origin**: Born from a research project at MIT's Computer Science and Artificial Intelligence Laboratory, giving the company deep academic credibility in AI, computer graphics, and digital fabrication.
- **Deep technical rigor**: The team describes itself as "scientists and engineers first" — every feature is grounded in research and validated against real manufacturing workflows before reaching customers.
- **Factory-floor domain depth**: Years spent understanding the specific constraints of physical product companies — the platform reflects real manufacturing reality, not just lab conditions.
- **Human-in-the-loop philosophy**: AI is designed to "remove toil, not replace judgment" — engineers stay in control while automation handles tedious work, a differentiator for adoption in regulated/enterprise environments.
- **Strong founder pedigree**: CEO Dr. Mok Oh (MIT Ph.D., former executive at Mercari, Samsung, PayPal), Chief Scientist Prof. Wojciech Matusik (MIT CSAIL professor, former Adobe/Disney Research), and Head of Research Michael Foshey (10+ years at MIT CSAIL in design/manufacturing AI).

## Strategic Focus
- Scaling the EGI platform from first enterprise customer (2024) to broader market expansion (2025 onward)
- Automating the full engineering documentation workflow "from design to manufacturing"
- Growing the team across engineering, product, and research while maintaining a remote-friendly, research-driven culture
- Standardizing documentation processes at scale for manufacturers (reducing errors, removing manual drafting bottlenecks)

## Why Work Here
- **Small team, hard problems**: The careers page explicitly pitches "a small team solving hard problems at the intersection of mechanical engineering and AI."
- **Remote-friendly**: All open roles are open to remote candidates unless otherwise noted.
- **Open roles**: Hiring across engineering, product, and research (posted on the Lever careers page under "Foundation LLM Technologies").
- **Research-backed culture**: Founders and team come from MIT CSAIL and leading tech companies (Mercari, Samsung, PayPal, Apple, Flexport, Honda Drivemode), combining academic rigor with scaled product experience.
- **Mission-driven work**: Opportunity to build AI infrastructure for an underserved market — physical product/manufacturing companies that still generate documentation by hand.
- **Global, multilingual team**: Team members span the US and Asia and bring experience leading global engineering and product organizations.

## Sources
1. [foundationegi.com — Homepage](https://www.foundationegi.com/)
2. [foundationegi.com — About](https://www.foundationegi.com/about)
3. [foundationegi.com — Careers](https://foundationegi.com/careers)
4. [foundationegi.com — Company/Team](https://www.foundationegi.com/company)
5. [jobs.lever.co — Open Roles](https://jobs.lever.co/foundation-llm-technologies)

## Other roles at Foundation EGI

- [Mechanical Design Integrations Backend Engineer](https://feeny.ai/job/mechanical-design-integrations-backend-engineer-foundation-egi-boston-6yfrbqw6wy2f) — Boston, MA
- [CAD Integrations Backend Engineer](https://feeny.ai/job/cad-integrations-backend-engineer-foundation-egi-boston-gxm1zdd2sgwg) — Boston, MA
- [Computational Design Research Engineer](https://feeny.ai/job/computational-design-research-engineer-foundation-egi-remote-5w05399qpmjc)
- [Software Architect](https://feeny.ai/job/software-architect-foundation-egi-boston-623mkgrgts1n) — Boston, MA