This is an opportunity to explore open-ended problems, develop novel architectures and evaluation methods, and deliver breakthroughs that unlock entirely new product capabilities. You will work in a fast-paced, high-ownership environment where shipping impactful ideas matters as much as publishing them.

We Expect You To

• Have a proven track record of introducing new ideas or improving existing ones in ML, demonstrated through first-author publications or impactful projects
• Bring direct, hands-on experience designing, training, and evaluating models, including developing novel measurement or mitigation techniques
• Independently define and pursue a research agenda, selecting high-impact problems and executing long-term projects
• Collaborate seamlessly with both research and product teams, with a strong bias toward impact and adaptability
• Step up to own challenges across the stack, even outside your formal role

Nice to Have

• Experience with high-performance, large-scale ML systems
• Expertise in designing, building, or deploying generative AI models
• Strong PyTorch skills and experience with performance optimization
• Experience working with large or complex datasets, including ETL pipelines
• A competitive, hacker mindset with the drive to win and ship results

Representative Projects

• Designing and training a new generative model architecture to capture complex geometric or structural patterns for new product capabilities
• Scaling distributed training to dramatically improve throughput and model quality in production
• Developing novel evaluation methods to assess generative model fidelity, diversity, and usability for real-world workflows
• Optimizing the compute efficiency of a new model variant for deployment in user-facing systems
• Creating interactive tools for visualizing and interpreting model behavior to guide product and research decisions

Why Backflip Repeat founders in 3D printing/CAD with a prior $2.1B exit Backed by a16z and NEA ; small, senior team with outsized impact

The chance to help define the future of AI-powered design from the earliest stages

Flexible PTO and competitive compensation

3 days a week in our San Francisco office, 2 days remote with the option to come in more often