Tech Stack

Description

You will work on applied machine learning projects including automating data ETL pipelines, deploying models, and shipping customer-facing products. You'll scale model inference and predictions, connect ML models to user interfaces, and collaborate with cross-functional teams.

Requirements

• Experience as a software engineer
• Experience building and serving machine learning models
• Familiarity with Python and ML frameworks (PyTorch, TensorFlow, Jax) and open-source stacks (HuggingFace)
• Ability to reason through ML system tradeoffs
• High level of end-to-end ownership and self-direction

Responsibilities

• Scale up model inference and running predictions at scale
• Work end to end to connect ML models to human interfaces (e.g., APIs, browsers, apps)
• Design and implement large-scale data and ML pipelines through full product lifecycle
• Collaborate with cross-functional team of engineers, researchers, product managers, and designers