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Machine Learning Engineer

Canada

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Job Description

Machine Learning Engineer

Company: Toybox Labs (Remote)

Location: Oakland, CA

  • Remote

Type: Full-time

About The Role

We’re looking for a Machine Learning Engineer who is excited to build creative, interactive AI features that kids will actually use. You’ll help expand our existing generative AI systems and develop new ML-driven capabilities that run both in the cloud and directly on our printers.

This role blends applied ML, product thinking, and creativity. You’ll work closely with a small, highly collaborative team to turn real ideas into shipped features.

What You'll Work On

  • Expanding our generative AI systems for creating 3D models from text and images
  • Computer vision features such as print failure (spaghetti) detection
  • Recommendation systems (e.g., other toys you may like)
  • ML features that run close to the hardware and enhance the on-printer experience
  • Improving internal ML infrastructure to enable faster experimentation and iteration

Responsibilities

  • Design, implement, and ship machine learning features end-to-end
  • Apply existing ML models as well as train and fine-tune custom models when needed
  • Collaborate with product and engineering to scope, plan, and deliver features
  • Maintain a high bar for quality, performance, and reliability
  • Contribute ideas for new ML-driven experiences and future platform directions

Required Qualifications

  • 3+ years of professional experience working with machine learning systems
  • Experience implementing classifiers and/or generative AI models in production
  • Experience with 3D technologies (3D printing, modeling, simulation, or game development)
  • Comfortable working in a remote-first environment
  • Clear communication skills and ability to manage multiple priorities

Nice To Have

  • Experience with 3D modeling or geometry-focused algorithms
  • Background in recommendation systems or computer vision
  • Working knowledge of Rust and/or TypeScript
  • Hands-on experience with 3D printers
  • Strong foundation in algorithms and complex spatial problems
  • Comfort working across a diverse technology stack
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