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Senior Machine Learning Systems EngineerTensec • Springfield, Missouri, United States
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Senior Machine Learning Systems Engineer

Tensec
  • US
    Springfield, Missouri, United States
  • US
    Springfield, Missouri, United States
Jetzt Bewerben

Über

Who We Are: 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 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.
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: 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, visit https://www.redditinc.com/careers/.
The base salary range for this position is: $216,700—$303,400 USD
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.
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  • Springfield, Missouri, United States

Sprachkenntnisse

  • English
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