Senior AI/ML Engineer — Scalable Production Systems

Meta; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems powering Meta’s products. You will develop and optimize models and pipelines at scale across deep learning, large language models, and recommendation systems.

You will work at the intersection of applied research and production engineering, translating cutting-edge AI into reliable, scalable systems serving billions of users.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 6+ years designing, training and deploying ML models in production.
• Experience with PyTorch or TensorFlow and Python for model development.

Responsibilities

• Design, build, and deploy machine learning systems powering Meta products.
• Develop and optimize AI models and pipelines at scale across deep learning, LLMs, and recommender systems.
• Translate AI advances into reliable, scalable production systems serving billions of users.

Skills

Python

PyTorch

TensorFlow

Distributed training

A/B testing

Model optimization (quantization, dist

ML serving infrastructure

Communication

Cross-team initiative

Ranking/recommendation systems

LLMs/generative AI

Observability tooling

Education

Bachelor's degree in Computer Science, Computer Engineering or equivalent

Tools

PyTorch

TensorFlow

Python tooling

Job description

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems powering Meta’s products. You will develop and optimize models and pipelines at scale across deep learning, large language models, and recommendation systems.

You will work at the intersection of applied research and production engineering, translating cutting-edge AI into reliable, scalable systems serving billions of users.