Machine Learning Engineer 5 - Platform Engineer

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The development engineer will be part of a team working on the development, operations and support of Adobe’s AI Platform team. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They are expected to be hands-on problem solver and well conversant in analyzing, architecting and implementing Golang/python-based world class high-quality software. Prior experience on ML solutions and cloud platform services, workflow orchestrators, data pipeline solutions would be a plus.

What you'll Do

• This is an individual contributor position.
• Hands on product/solution development knowledge are a must.
• The position involves conceptualization of a product, design, development, debugging/triaging, deployment at scale, monitoring, analyzing, etc
• Planning, effort estimation and risk analysis of a project.
• The incumbent will plan, evaluate industry alternatives, design and drive new layers, solutions, workflow, features, etc
• Should take the initiative to drive frugality through optimizations without compromising stability or resiliency.

Requirements
Bachelor’s / Master’s degree in engineering.
9-12 years of relevant industry experience.
A proven expertise with building large scale platforms on Kubernetes.
Proven programming skills with languages such as python and go-lang.
Experience of the latest ML development tools such as pytorch.
Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases
Exposure to container runtime environments
Experience in building, deploying, and managing infrastructures in public clouds (specifically AWS)

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