Senior Machine Learning Systems Engineer

Fdetimes; United States; A distancia; USD 217.000 - 303.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity in RSUs

Medical, dental, and vision insurance

401(k) with employer match

Descripción de la vacante

Reddit’s Machine Learning Platform team seeks a Senior ML Infrastructure Engineer to lead a platform for large-scale ML models. You will design end-to-end MLOps patterns, enabling rapid development for ML engineers, and build a graph ML codebase to improve scalability and efficiency.

Key focus includes performance tuning, distributed training, and advanced data processing across cloud-based tools. Collaboration with ML engineers is essential to drive scalable ML solutions.

Formación

• 5+ years of experience in ML infrastructure, including model training and deployments.
• Hands-on experience with ML optimization, including memory and GPU profiling.
• Deep experience with cloud-based technologies supporting an ML platform (GCP, storage, IaC).
• Experience with MLOps tools for experiment tracking, model serving, and registries (MLflow/Wandb).
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Experience with distributed training (Ray, Kubernetes).
• Strong focus on scalability, reliability, performance, and user-centric design.

Responsabilidades

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of ML development.
• Develop and support a graph ML codebase and platform for scalability and iteration.
• Collaborate on performance tuning, including GPU training costs in a large distributed environment.
• Optimize batch data processing with Beam, Spark, Ray Data, and related tools.
• Architect pipelines to manage large graph data structures with billions of nodes and edges.

Conocimientos

ML infrastructure

Python

PyTorch

TensorFlow

GCP

Kubernetes

Ray

BigQuery

Terraform

MLflow

Wandb

Apache Spark

Apache Beam

Herramientas

MLflow

Wandb

Terraform

BigQuery

Google Cloud Storage

Apache Spark

Descripción del empleo

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Who We Are

The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do

As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
• Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
• Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
• Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
• Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

Who You Might Be

• 5+ years of experience in ML infrastructure, including model training and model deployments
• Hands-on experience with ML optimization, including memory and GPU profiling
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
• Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
• Deep experience working with distributed training frameworks, including Ray and Kubernetes
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Strong organizational & communication skills
• Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
• Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus

Pay Transparency

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, 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. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is

$216,700—$303,400 USD

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Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.