Senior ML Engineer: Scale, Safety & Ranking Systems

Meta; Menlo Park (CA); Hybrid; USD 180,000 - 250,000; Full time

Job summary

Meta in Menlo Park, CA is seeking a Machine Learning Engineer to join our integrity engineering team. You will design and optimize large-scale ML systems for content safety across Meta's products, including model development, training pipelines, and deployment.

The ideal candidate has a BS in CS/CE, 12+ years coding (Python, C++, Java), 8+ years in ML or DL, strong cross-functional leadership, and a track record of shipping real-world AI applications.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field
• 12+ years of experience in programming languages (Python, C++, or Java)
• 8+ years of experience in machine learning, recommendation systems, pattern recognition, data mining or deep learning methods
• Experience leading cross-functional projects with industry-wide impact
• Experience mentoring/influencing engineers across organizations
• Experience with responsible, ethical AI practices (risk assessment, bias mitigation, quality checks)
• Experience with deep learning frameworks (PyTorch, TensorFlow) and ML infrastructure tools
• Familiarity with MLOps practices, model monitoring, and production ML systems
• Experience shipping ML-powered products to millions of users or launching ML product lines
• Publications or contributions to the ML research community

Skills

Python

C++

Java

Machine Learning

Deep Learning

ML Infrastructure

MLOps

PyTorch

TensorFlow

Leadership

Cross-functional collaboration

Communication

Education

Bachelor's degree in CS/CE or related field

Tools

PyTorch

TensorFlow

Job description

Meta in Menlo Park, CA is seeking a Machine Learning Engineer to join our integrity engineering team. You will design and optimize large-scale ML systems for content safety across Meta's products, including model development, training pipelines, and deployment.

The ideal candidate has a BS in CS/CE, 12+ years coding (Python, C++, Java), 8+ years in ML or DL, strong cross-functional leadership, and a track record of shipping real-world AI applications.