Brook Preloader

Cloud Engineer Internship

Remote
3-month internship, 40 hours/week

Tessellate Imaging is a machine learning startup helping companies accelerate into the AI era. We empower better decision-making through data. As a member of our backend team, you will be designing and building state-of-the-art infrastructure. We’re passionate about simplicity, clarity, and performance in the face of large volumes of data and users. Our team is a tight-knit, super collaborative group that’s on a mission to create a more curious and rational world.

Responsibilities

Build modular dashboards with a nightly machine learning pipeline that orchestrates hundreds of worker machines.
Build a microservice architecture for data ingestion that scales to trillions of data points with a Docker-based deployment solution that integrates with cloud services.
Take ownership of company-wide projects, working hand-in-hand with the rest of the team
Collaborate across teams, working with business, product and engineering teams to deploy solutions to enterprise customers and see firsthand how a top-notch AI startup is built.
Guide the feature development process, from infancy to production.
Learn and work in all facets of product design, from interactions to information architecture, visual design, research, and more.

Requirements

You're at least a rising undergraduate senior. The more experience you have, the better.
Experience as a software engineer or in a relevant role with integrating machine learning into production-level software
Experience with AWS or GCP or AZURE Cloud.
You understand the fundamentals of HTTPS. You can write and work with RESTful APIs.
You know your way around Unix-like systems, and you’re at home in the Shell.
Bonus points if
You’ve worked on Django applications before. You know your way around the ORM. You take pride in writing high-quality, testable code. Industry experience in building online platform/marketplace You’re a wordsmith. You love to write and are appreciative of nuance.

Interested? Apply now!

Please include a link to your GitHub profile and portfolio of past work. Submissions without these will not be considered.