Remote Staff ML Efficiency Engineer — Scale & Optimize

Reddit, Inc.

Greater London

On-site

GBP 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Global Benefits

Family Planning

Mental Health Support

Pension with match

Private Medical/Dental

Bike to Work

Paid Parental Leave

Job summary

Reddit, Inc. is seeking a senior ML platform engineer to design and optimize scalable ML training, inference, and serving systems. You will build tooling, profiling, and benchmarking capabilities to improve developer productivity and reduce costs.

You will collaborate with ML researchers and product teams to identify bottlenecks, increase GPU utilization, and drive platform reliability as workloads grow. Remote-friendly UK role with strong compensation.

Qualifications

BS/MS/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.

Responsibilities

Design and build systems that improve ML training and inference efficiency.
Develop tooling to help ML engineers debug, profile, and monitor performance.
Improve GPU and resource utilization via scheduling, caching, and optimization.
Partner with researchers and product teams to drive performance improvements.
Build benchmarking frameworks and performance dashboards.
Optimize distributed training infrastructure and data pipelines.
Lead cross-functional initiatives to boost productivity of Reddit ML engineers.
Drive technical strategy for ML platform scalability, reliability, and cost efficiency.