Production ML Engineer Intern - Real-World Infrastructure

Cyvl, Inc.

Somerville, Northern (MA, KY)

Hybrid

USD 28,000 - 48,000

Part time

14 days+
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Job summary

Cyvl, Inc. in Somerville, MA is offering a Summer Engineering Intern role. You’ll work on systems powering our platform — user interfaces, backend services and APIs, and the machine learning models.

You’ll see your contributions reach production, and collaborate with our engineering and product teams to design and launch new capabilities. You’ll gain exposure to a wide range of technologies, learn to build scalable software in a fast-moving startup, and grow through regular pairing and feedback

Qualifications

  • Currently pursuing a degree in Computer Science, Software Engineering, or related field.
  • Strong programming skills in Python.
  • Basic understanding of databases and SQL.
  • Comfortable working with AI coding agents.
  • Excellent communication and collaboration.
  • Able to work in person at our Somerville, MA office.

Responsibilities

  • Contribute to real product features, frontend and backend.
  • Collaborate with engineers, designers, and product managers.
  • Write well-tested APIs and services.
  • Learn cloud-based tools and DevOps workflows.
  • Gain fluency with AI coding agents on a production codebase.
  • Grow through pairing, code reviews, and feedback.

Skills

Python programming
SQL basics
Communication
In-person work
Curiosity

Education

Pursuing CS/Software Eng degree

Tools

React
Supabase
Docker/Kubernetes
AWS/GCP
AI agents

Job description

Cyvl, Inc. in Somerville, MA is offering a Summer Engineering Intern role. You’ll work on systems powering our platform — user interfaces, backend services and APIs, and the machine learning models.

You’ll see your contributions reach production, and collaborate with our engineering and product teams to design and launch new capabilities. You’ll gain exposure to a wide range of technologies, learn to build scalable software in a fast-moving startup, and grow through regular pairing and feedback

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