About the role
Design and implement novel research ideas, ship state of the art models to production.
- •Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia.
- •Key Responsibilities Design, build and scale AI systems for serving our users.
- •Research, implement, and experiment with ideas on our supercompute and data infrastructure.
- •Learn from and work with the best researchers in the field.
- •Requirements Extremely strong software engineering skills.
- •Proficiency in Python and related ML frameworks such as TensorFlow, TF-Serving, JAX, and XLA/MLIR.
- •Experience writing kernels for GPUs using CUDA.
- •Experience using large-scale distributed training strategies.
- •Familiarity with autoregressive sequence models, such as Transformers.
Tech stack
PythonTensorFlowJAX
Match insights
Tech:Python, TensorFlow, JAX
Level:Lead