# Senior Machine Learning Engineer, GenAI Security **Company**: Reddit **Location**: Remote - United States **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: $216,700-$303,400 USD **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/reddit/jobs/7891887?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_3140af7f-644 ## Description Reddit's GenAI Security team is seeking a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. The GenAI Security team protects Reddit's GenAI usage across employee tools, internal agents, and production user-facing systems. The team's mission is to secure and protect Reddit's AI traffic and GenAI adoption by default. Responsibilities: - Build and improve security-focused ML models for Reddit's GenAI traffic - 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 - 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 - Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams - Work pragmatically with Reddit's evolving ML platform - 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 Requirements: - 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 - Experience building data pipelines and working with large-scale datasets - Experience designing rigorous model evaluations - 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 Preferred qualifications: - Experience applying ML to security, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI security problems - Experience training or fine-tuning neural text models for complex inputs - Experience with production MLOps or model serving systems - Experience improving model quality through labeling strategy, hard-negative mining, synthetic data generation, distillation, or active learning Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave ## Skills ### Required - Machine Learning - Deep Learning - Python - Go - PyTorch - TensorFlow - MLOps ### Nice to have - GenAI Security - Adversarial ML - Security - Privacy - Trust and Safety - Abuse Prevention --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/reddit/jobs/7891887?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)