Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing, developing, and deploying state-of-the-art multi-modal models for a chemistry project with an accent on building end-to-end machine learning pipelines. Focus on collaborating with scientists and engineers to translate research ideas into production-ready solutions.

Location: Mountain View, CA (HQ)

Company

X is a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people.

What you will do

• Design and build end-to-end machine learning pipelines for training, evaluation, and deployment.
• Develop and fine-tune sophisticated multi-modal models using frameworks like PyTorch.
• Leverage Google Cloud Platform (GCP) services to deploy and scale ML models.
• Collaborate with cross-functional teams to translate research ideas into production-ready solutions.
• Stay current with advancements in machine learning, particularly in multi-modal learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience designing and deploying ML solutions.
• Proven experience building deep learning models using PyTorch.
• Experience with Large Language Models and multi-modal models.
• Strong proficiency with Google Cloud Platform (GCP).
• Excellent programming skills in Python.