Backflip is revolutionizing how engineers and designers create for the physical world by building AI-first tools that make 3D design as intuitive and fast as sketching on paper.
Requirements
- 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
- Bring direct, hands-on experience designing, training, and evaluating models, including developing novel measurement or mitigation techniques
- 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
Responsibilities
- Design, train, and evaluate frontier generative models
- Uncover ideas that work reliably at scale and translate them into production systems
- Own ambitious research directions from concept through prototype
- Develop novel architectures and evaluation methods
- Deliver breakthroughs that unlock entirely new product capabilities
- 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
Other
- Have a proven track record of introducing new ideas or improving existing ones in ML, demonstrated through first-author publications or impactful projects
- 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
- A competitive, hacker mindset with the drive to win and ship results
