Machine Learning Platform Engineer
CoreWeave, Inc
Role Locations
- New York, NY, United States
- Remote
Compensation
Employees
Address
Tech Stack
- Kubernetes
- Go
- Ruby on Rails
- React
- Bare Metal
- Node.js
- Docker
- Python
Role Description
The Machine Learning Platform Developer will develop machine learning inference and training pipelines and turn new state of the art models into a production service offered to clients. In addition Developer will work on:
Distributed systems using Kubernetes Public and internal API mechanisms for inference and training Tracking accounting systems
Requirements 3+ years of experience in professional programming 1+ years of experience writing code in Go Knowledge or interest in Machine Learning, Training and and Inference Strong programming skills Familiarity with software development cycles Solid understanding of software concepts, data structures and algorithms Thrives in a fast-paced environment and is willing to shift priorities seamlessly Team player and ability to work in an interdisciplinary team Goal orientated, self motivated, and a drive to succeed
About CoreWeave, Inc
CoreWeave is a modern cloud, providing enterprise scale with the flexibility of a start-up. At CoreWeave we are building the next generation public cloud for accelerated workloads. Our stack consists of 8,000 bare metal servers with 45,000 GPUs total with over 7 data-centers. We lay Kubernetes on top to provide bare metal performance to users in ML Training, Real Time Inference and CGI markets. CoreWeave espouses small teams of high-performing, highly accountable engineers; the use of open source tools and libraries whenever possible; and focusing on delivering reliable, useful software to our customers.
Company Culture
We are a close-knit team that is passionate about building an accelerated cloud focused on compute intensive workloads. We live five core values:
Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together
Address
Tech Stack
- Kubernetes
- Go
- Ruby on Rails
- React
- Bare Metal
- Node.js
- Docker
- Python
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