The Role
As an AI/ML Ops Engineer, you will architect and operate ML pipelines, automate CI/CD processes, and collaborate with cross-functional teams to enhance engineering productivity.
Summary Generated by Built In
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.
Responsibilities
- Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud.
- 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.
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, and Google Cloud.
- Deep understanding of large language models (LLMs) and prompt-engineering best practices.
- Experience designing and maintaining CI/CD pipelines to fine-tune or train LLM 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
- Python, TypeScript
- Protobuf, gRPC
- Next.JS, React.JS
- GitHub Actions
- Docker, Kubernetes, Spinnaker
- PostgreSQL
Top Skills
Docker
Github Actions
GCP
Grpc
Kubernetes
Next.Js
Postgres
Protobuf
Python
React
Terraform
Typescript
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The Company
What We Do
Meet the Al platform to Revolutionize Engineering. We started this company because manufacturing and engineering are overdue for a digital revolution. These fields are complex, and while agile, lean, and just-in-time methods have driven progress, AI now offers a transformative opportunity to reshape how work gets done.
Foundation’s EGI platform is built to accelerate every stage of the product development cycle—from research and design to manufacturing and documentation—empowering engineers to build better products, faster and more efficiently.
