Tech Stack
AWSDjangoGRPCKubernetesPythonPyTorchTensorflow
About the role
- Spearhead machine learning initiatives to generate and visualize a wide array of home décor items
- Develop state-of-the-art algorithms for holistic redecoration: wallpaper, flooring, countertops, and more
- Implement ML techniques to adapt and present décor in real-time based on user preferences and room dimensions
- Collaborate closely with interior design experts, UX/UI designers, and development teams to refine models and enhance realism
- Collect, clean, and prepare data and evaluation sets; build and run evaluations
- Work on production deployment and infrastructure (gRPC, Kubernetes on AWS)
- Drive product improvements and push Leap Tools' digital décor tools to new heights
Requirements
- Passion for machine learning and AI
- Strong foundation in computer science
- Very comfortable coding in Python
- Experience reading ML papers and implementing your own versions of them
- Hands-on with data: collection, cleaning, and building evaluation sets
- Able to tackle unsolved problems with minimal supervision after initial designs
- Persistent and resilient through long experimentation cycles
- Experience with PyTorch (mostly) and some TensorFlow
- Experience with Python and Django
- Familiarity with gRPC, Kubernetes on AWS
- Interest in building products used by millions and collaborating with cross-functional teams