Software Engineer, Systems ML

Highlights

• Build ML infrastructure powering Meta's products at massive scale.
• Optimize training and inference pipelines serving billions of users.
• Improve efficiency of AI infrastructure through system-level design.

What they offer

• bonus
• equity
• benefits

Ideal candidate

A seasoned systems-minded engineer who loves squeezing performance from large-scale ML infrastructure and collaborating with researchers to turn model needs into reliable, efficient production systems.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
• Experience developing and optimizing ML training or inference pipelines using frameworks such as PyTorch, TensorFlow, or equivalent
• Experience with distributed computing architectures and large-scale systems design for ML workloads
• Experience programming in C++ and Python for performance-critical systems
• Experience using profiling and performance analysis tools to identify and resolve bottlenecks in ML or compute-intensive systems