Machine Learning Engineer

Overview

Machine Learning Engineer to help drive the direction of an ML platform using strong math and ML expertise, improving modeling decision-making and research workflows.

What you'll do

• Drive the direction of the ML platform.
• Apply ML approaches to aid decision-making.
• Enhance research workflows to tighten feedback cycles.
• Build and maintain training and inference infrastructure.
• Create and maintain an organized research codebase with robust, reproducible results.
• Wrangle and work with ML frameworks.

What you'll need

• Robust experience in machine learning.
• Strong mathematical foundations.
• Experience building and maintaining training and inference infrastructure, from concept to production.
• Strong math background including optimization theory, regularization, and linear algebra.
• Ability to keep up with state of the art via papers, hardware, or source code.
• Ability to create and maintain an organized, easy-to-use research codebase for reproducible results.
• Experience with ML frameworks, with PyTorch mentioned and openness to Jax or TensorFlow.

Details

• Role is within a growing ML team.