Machine Learning Engineer
Indexed description
Company: Toybox Labs (Remote)
Location: Oakland, CA
- Remote
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
- 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 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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