Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $216,700–$303,400 / yr
- Posted
- today
Market check
Salary context
How this pay compares to similar roles
This role pays more than 82% of similar roles. Most pay $174,990–$249,753 — the shaded band above. At the midpoint, this role pays about $260k versus about $212k for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has 72 open roles on FindRole.
Listed pay typically runs $217,000–$303,900 across 66 roles with salary data.
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At a glance
TL;DR · Senior Machine Learning Engineer, GenAI Security
As a Senior Machine Learning Engineer on Reddit’s GenAI Security team, you will lead the development of security-focused ML models to protect Reddit's AI traffic and ensure secure GenAI adoption. Your responsibilities include defining problems, building ETL pipelines, engineering features, training models, deploying them in production, monitoring performance, and retraining based on feedback. You will work with modern deep learning frameworks like PyTorch and TensorFlow, design robust evaluation suites for adversarial examples, and build repeatable MLOps workflows using tools such as Airflow and MLflow. This role requires hands-on experience with large-scale datasets, rigorous model evaluations, and a strong background in the full ML lifecycle. You will collaborate closely with various teams to integrate security models into production workflows and translate security goals into measurable outcomes.
Skills
What you'll do
- Build and improve security-focused ML models for Reddit’s GenAI traffic.
- Own the full machine learning lifecycle from problem definition to retraining.
- Design rigorous evaluation suites for adversarial examples and production traffic.
- Improve model precision, recall, latency, cost, calibration, and operational reliability.
- Build repeatable MLOps workflows including training pipelines and artifact management.
What we're looking for
- 5+ years of experience in building, training, and deploying production ML or deep learning models.
- Hands-on expertise with modern ML frameworks like PyTorch, TensorFlow, or similar tools.
- Strong understanding of the full machine learning lifecycle from problem definition to model retraining.
- Experience in designing rigorous evaluation suites for adversarial examples and real production traffic.
- Ability to build repeatable MLOps workflows including training pipelines and artifact management.
- BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
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