Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess strong software engineering fundamentals, a Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field, and a minimum of 4 years of professional, full-time experience building reliable backend systems. Experience managing HPC clusters for deep neural network training is also required, along with familiarity with Python and PyTorch.
The AI Training Infrastructure Engineer will be responsible for designing, deploying, and maintaining Figure’s training clusters, architecting and maintaining scalable deep learning frameworks for training on massive robot datasets, collaborating with AI researchers to implement training of new model architectures at a large scale, and implementing distributed training and parallelization strategies to reduce model development cycles. Additionally, the role involves implementing tooling for data processing, model experimentation, and continuous integration.
Blockchain-based home equity lending solutions
Figure is a financial technology company that uses blockchain technology to improve financial transactions, specifically in the home equity lending market. It offers products like Home Equity Lines of Credit (HELOCs) and mortgage refinancing, allowing homeowners to access their home equity quickly and efficiently. The application process is fully online, enabling homeowners to receive funds in as little as five days, which is much faster than traditional banks that can take weeks or months. Figure ensures secure and cost-effective transactions through blockchain, and it generates revenue from origination fees and interest on loans, with competitive rates starting at 3.49% APR. Targeting homeowners across various U.S. states, Figure aims to meet the demand for quick access to home equity for purposes like home improvements or debt consolidation.