Senior ML Efficiency Engineer - Remote

Reddit, Inc.; New York (NY); Remote; USD 230,000 - 322,000; Full time

Benefits offered by this job

Private Medical and Dental Scheme

Group Personal Pension with Employer 5

Flexible Vacation & Paid Volunteer

Generous Parental Leave

Job summary

Reddit, Inc. is expanding its ML Efficiency team to design and build scalable systems that accelerate training and inference for ML models across the platform.

The role focuses on improving GPU utilization, profiling and debugging ML pipelines, and partnering with researchers and product teams to remove bottlenecks at scale. It offers remote flexibility for US/Canada-based candidates and a competitive compensation package.

Qualifications

• BS, MS, or PhD in Computer Science or a related field.
• 5+ years of software engineering experience.
• Strong proficiency in Python.
• Proficiency in at least one systems language (Go, C++, Rust, or Java) preferred.
• Experience building distributed systems at scale.
• Experience with machine learning infrastructure, training systems, or model serving platforms.
• Deep understanding of performance engineering and systems optimization.
• Strong debugging and profiling skills.

Responsibilities

• Design and build systems that improve the efficiency of ML training and inference workloads.
• Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
• Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization.
• Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements.
• Build benchmarking frameworks and performance dashboards for training and serving systems.
• Optimize distributed training infrastructure, data pipelines, and model serving architectures.
• Lead cross-functional initiatives that improve the productivity of Reddit ML engineers.
• Drive technical strategy for ML platform scalability, reliability, and cost efficiency.

Skills

Python

Distributed systems

Performance engineering

Debugging/profiling

Education

BS/MS/PhD in CS or related field

Tools

PyTorch

TensorFlow

Ray

Spark

Go

C++

Rust

Java

Job description

Reddit, Inc. is expanding its ML Efficiency team to design and build scalable systems that accelerate training and inference for ML models across the platform.

The role focuses on improving GPU utilization, profiling and debugging ML pipelines, and partnering with researchers and product teams to remove bottlenecks at scale. It offers remote flexibility for US/Canada-based candidates and a competitive compensation package.