Описание

The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem.

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

Requirements

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

Nice to have

Experience with large-scale recommendation, ranking, generative AI, or foundation model systems
Experience with distributed training frameworks such as PyTorch Distributed, Ray, Tensorflow, Spark
Familiarity with GPU architectures and performance analysis tools
Experience optimizing cloud infrastructure costs across large ML workloads
Contributions to internal platforms used by multiple ML teams
Experience with building real time ML inference applications

We offer

Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave
The base salary range for this position is: $230,000—$322,000 USD

Hiring process

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI)
You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us
We will use this information to evaluate your application for employment or an independent contractor role, as applicable
We will not sell your personal information or disclose it to any third party for their marketing purposes
We will delete any recording of your interview promptly after making a hiring decision
If, due to a disability, you need an accommodation during the interview process, please let your recruiter know