Senior Machine Learning Systems Engineer

Tensec; Springfield (VA); On-site; USD 216,700 - 303,400; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) program with employer match

Generous vacation time

Parental leave

Job summary

Tensec is seeking a Senior ML Infrastructure Engineer to lead the development of a platform for large scale ML models. This role involves designing model lifecycle patterns, optimizing GPU training costs, and collaborating with ML engineers.

Ideal candidates will have over 5 years of experience in ML infrastructure, hands-on with optimization, and cloud technologies like GCP. A competitive salary range of $216,700—$303,400 USD is offered along with comprehensive benefits.

Qualifications

• 5+ years of experience in ML infrastructure, including model training and deployments.
• Hands-on experience with ML optimization and GPU profiling.
• Deep experience with cloud-based technologies supporting ML platforms.

Responsibilities

• Lead development of a platform for large scale ML models.
• Design end-to-end model lifecycle patterns to boost development velocity.
• Collaborate with ML engineers on performance tuning and cost efficiency.

Skills

ML optimization

Python

PyTorch

Tensorflow

Kubernetes

Tools

Apache Beam

Apache Spark

GCP BigQuery

Google Cloud Storage

Terraform

Job description

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.