Staff Machine Learning Systems Engineer

Tensec; Springfield (VA); On-site; USD 230,000 - 322,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) program with employer match

Generous time off and parental leave

Job summary

Tensec, located in Springfield, Virginia, is seeking a Staff ML Infrastructure Engineer to develop a platform for large-scale machine learning models. You will design end-to-end model lifecycle patterns and collaborate with engineers to optimize performance in a distributed setting.

The ideal candidate has over 8 years of experience in ML infrastructure, deep cloud technology familiarity, and skills in programming languages like Python and frameworks such as TensorFlow and PyTorch. This role offers a competitive salary and equity opportunities.

Qualifications

• 8+ years of experience in ML infrastructure.
• Hands-on experience with ML optimization.
• Deep experience with cloud-based technologies.
• Experience with MLOps tools for tracking and serving models.
• Strong focus on scalability and reliability.

Responsibilities

• Lead development of a platform for large scale ML models.
• Design MLOps patterns to boost development velocity.
• Collaborate on performance tuning in distributed environments.
• Optimize batch data processing in data warehouses.
• Architect pipelines for large graph data structures.

Skills

Experience in ML infrastructure

Memory and GPU profiling

Cloud-based technologies

MLops tools

Proficiency in Python, PyTorch, Tensorflow

Distributed training frameworks

Strong communication skills

Tools

GCP BigQuery

Google Cloud Storage

Terraform

MLflow

Wandb

Ray

Kubernetes

Neo4j

JanusGraph

TigerGraph

PyTorch Geometric

Deep Graph Library

Job description

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.

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 Staff 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

• 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 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. 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.

For more information, 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: $230,000 — $322,000 USD.

Interview Recording

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. For more information about how we will handle your personal information, including our retention of it, please refer to Candidate Privacy Policy for Potential Employees and Contractors.

Equal Opportunity

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.