Infrastructure Engineer at Sematic (S22)
$120k - $180k  β€’  0.50% - 1.50%
Open-source ML development platform
San Francisco, CA / Oakland, CA / Remote
Full-time
3+ years
About Sematic

Sematic is the open-source Continuous Learning Machine built by ex-Cruise engineers.

Sematic is the easiest and fastest way to build end-to-end Machine Learning pipelines and automate retraining to keep ML models fresh and relevant. Sematic lets ML Engineers chain all steps required to transform labeled data into deployed trained models.

About the role
Skills: Kubernetes

Come join our elite team of industry veterans (Cruise πŸš—, Instacart πŸ₯•, Adobe 🎨, CERN πŸ’«, US National Labs πŸ”¬) to build the open-source Continuous Learning Machine.

Sematic enables ML engineers to easily build recurrent end-to-end training pipelines to enable continuous delivery of high-quality ML models.

If you are passionate about state-of-the-art cloud infrastructure, love to configure and optimize Kubernetes clusters, love to automate cloud deployments, join us to make Sematic the best ML cloud tool in the industry.

If you like to work in a fast-moving, friendly, yet highly professional team, join Sematic for the experience of a lifetime.

Sematic is open-source! Your work will be visible publicly and you will build a reputation in the industry.

Skills and technology you should enjoy: Kubernetes, Terraform, Chef, Ansible, cloud providers (AWS, GCP, Azure), security best practices, Docker, infrastructure for continuous integration testing, etc.

Sematic benefits:

  • Full-coverage healthcare and dental plans
  • In the Bay Area? Work from home and come on-site once a week. Not in the Bay? Fly in to work with the team once a month.
  • PTO policy: take what you need when you need it.

The Sematic team is inclusive and diverse (we are πŸ‡«πŸ‡·, πŸ‡ΊπŸ‡Έ, and πŸ‡·πŸ‡΄). Atypical profiles and backgrounds are encouraged to apply.

We have a fast-paced, high-trust culture with high professional standards and no tolerance for toxicity.

Technology

Our stack:

  • Python
  • PostgreSQL
  • Kubernetes
  • React
  • Bazel
Interview Process

Initial phone screen

An initial conversation to evaluate a potential fit between you and the team. We will discuss your background, work experience, and we will share mutual expectations for the role.

Take-home exercise

A simple exercise to take home. You will have a few days to complete it.

System design interview

A video interview to whiteboard a technical design with the team. No wrong or right answers, always a matter of justifying choices, tradeoffs, and being a constructive self-critic.

Behavior and culture interview

A casual conversation to evaluate your communication skills, your level of professionalism, and your ability to work with a team.

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