or apply directly on Reddit's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Reddit's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Reddit's roles list one
- Ghost-job risk at Reddit
- high 148 stale, 3 reposted of 150 open
- Hiring momentum
- 259 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Reddit's own greenhouse board since 2026-08-03. Full hiring picture for Reddit.
About this role
As a Senior Machine Learning Systems Engineer at Reddit, you will lead the development of a platform for large-scale machine learning models, focusing on MLOps to enhance the workflow for ML engineers. Your responsibilities will include optimizing model training and efficiency, architecting data processing pipelines, and collaborating with ML engineers to improve performance in a distributed training environment.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Reddit as an employer.
What you need
- 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)
- 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
- Deep experience working with distributed training frameworks, including Ray and Kubernetes
Nice to have
- Experience working with graph databases (Neo4j, JanusGraph, TigerGraph)
- Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library)
What you get
- Equity in the form of restricted stock units
- Medical, dental, and vision insurance
- 401(k) program with employer match
- Generous time off for vacation
- Parental leave
Worth weighing
- No specific mention of remote work challenges or team dynamics
- Base salary range is provided, but final offer amounts may vary based on multiple factors
- Interview process includes AI recording and transcription, with an opt-out option
Summarised from Reddit's posting. Read the full original.
Listed by Reddit on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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