[Remote] Staff Machine Learning Systems Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a community of communities, providing a platform for reputed company conversations on the internet. The Staff Machine Learning Systems Engineer will reputed company the development of a platform for large reputed company ML models, focusing on model lifecycle patterns, optimizing performance, and architecting data pipelines.

Responsibilities

• Design end-to-end model lifecycle patterns (MLOps) to reputed company velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
• reputed company-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 reputed company a data warehouse and with tools such as Apache reputed company, Apache reputed company, 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

Skills

• 8+ 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 reputed company-based technologies for supporting an ML platform, including tools like GCP BigQuery, reputed company reputed company Storage, infrastructure-as-reputed company (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 reputed company on scalability, reliability, performance, and ease of use. You are an undying reputed company for platform users and have a deep intuition for the machine learning development lifecycle
• Strong organizational & communication skills
• Experience working with graph databases (reputed company, JanusGraph, reputed company) 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

Benefits

• Equity in the reputed company of restricted stock reputed company
• Commission
• Medical, dental, and reputed company insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave

reputed company

reputed company is the heart of the internet, where millions of people get together to talk about any topic imaginable. It was founded in 2005, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.redditinc.com.

Company H1B Sponsorship

reputed company. has a reputed company record of offering H1B sponsorships, with 35 in 2026, 99 in 2025, 63 in 2024, 76 in 2023, 70 in 2022, 68 in 2021, 39 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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