Research Engineer: Efficient AI Systems & Prototyping

Liquid AI; San Francisco (CA); Hybrid; USD 100,000 - 140,000; Full time

Job summary

A pioneering AI research lab is seeking a Research Engineer to push the boundaries of adaptive intelligence. This role involves designing and implementing innovative architectures while translating research ideas into working systems. The ideal candidate is fluent in Python and has experience with frameworks like PyTorch or TensorFlow, along with a strong machine learning research background. With a focus on scalable, efficient AI solutions, this position promises immediate impact in a collaborative small team environment.

Qualifications

• Profound experience in Python and related frameworks.
• Strong background in machine learning research or production.
• Ability to transition from theory to prototype rapidly.

Responsibilities

• Design and implement novel AI architectures and methods.
• Translate scientific concepts into practical systems.
• Publish advancements to drive the field forward.

Skills

Python

PyTorch

JAX

TensorFlow

Machine Learning Research

Production-Grade ML Systems

Job description

A pioneering AI research lab is seeking a Research Engineer to push the boundaries of adaptive intelligence. This role involves designing and implementing innovative architectures while translating research ideas into working systems. The ideal candidate is fluent in Python and has experience with frameworks like PyTorch or TensorFlow, along with a strong machine learning research background. With a focus on scalable, efficient AI solutions, this position promises immediate impact in a collaborative small team environment.