Remote Staff ML Engineer, Ads Efficiency — Scale & Optimize

United States Digital Space LLC

United States

Remote

USD 230,000 - 322,000

Full time

34 hours ago
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Benefits offered by this job

Global Benefits
Medical, Dental, Vision
401(k) matching
Paid Parental Leave
Flexible vacation

Job summary

Reddit is seeking a senior ML Platform Engineer to design and optimize scalable training and inference systems across our global infrastructure. You will build tooling, improve scheduling, and partner with researchers to accelerate experiments.

You will lead distributed systems work, drive performance engineering, and help reduce costs while increasing GPU utilization. This role offers fully remote work in the US/Canada and a comprehensive benefits 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).
  • 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 the company ML engineers.
  • Drive technical strategy for ML platform scalability, reliability, and cost efficiency.

Skills

Python
Go
C++
Rust
Java
Distributed systems
Performance engineering
Debugging
Profiling

Education

BS/MS/PhD in Computer Science

Tools

PyTorch
Ray
TensorFlow
Spark

Job description

Reddit is seeking a senior ML Platform Engineer to design and optimize scalable training and inference systems across our global infrastructure. You will build tooling, improve scheduling, and partner with researchers to accelerate experiments.

You will lead distributed systems work, drive performance engineering, and help reduce costs while increasing GPU utilization. This role offers fully remote work in the US/Canada and a comprehensive benefits package.

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