Machine Learning Engineer

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.

• Company: Toybox Labs (Remote)
• Location: Oakland, CA
• Remote: Yes
• Type: Full-time

• 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

• 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

• 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

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