Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default. We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions. We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining
Задачи
Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals
Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback
Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit
Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic
Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces
Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops
Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows
Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving
Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact
Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs
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
Требования
5+ years of experience building, training, evaluating, and deploying production ML or deep learning models
Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar
Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining
Experience building data pipelines and working with large-scale datasets
Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation
Experience shipping production-quality software, preferably in Python and/or Go
Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners
BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience
Experience in the following areas is a plus
Applying ML to security, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI security problems
Training or fine-tuning neural text models for complex inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls
Production MLOps or model serving systems such as Airflow, Ray, MLflow, Triton, ONNX, Kubernetes, or similar
Improving model quality through labeling strategy, hard-negative mining, synthetic data generation, distillation, or active learning
Условия
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information
For more information, visit www.redditinc.com
The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems
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greenhouseОсновная публикация · 2026-05-05
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