3 months ago

Senior Machine Learning Engineer, GenAI Security

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 55 minutes agoStatus: Live

Job Summary

Lead end-to-end ML development for Reddit's GenAI Security, building and evaluating security-focused models, ETL pipelines, and production deployments. Collaborate with ML Infrastructure, Security, and product teams to deploy robust defenses against prompt injection, data exfiltration, and unsafe model behavior while improving latency and cost. You will mentor engineers and shape the ML platform roadmap for SPACE.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead model development end to end: define security problems, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback.
•Design and evaluate security-focused ML models (guardrails, classifiers, anomaly detectors) for GenAI traffic using modern deep learning architectures.
•Partner with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and Security teams to bring security models into real production workflows.
•Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops.
•Translate security goals into measurable model outcomes and communicate tradeoffs between risk reduction, latency, and product impact.

Pay and Benefits

Salary: USD 216,700 - 303,400 annually

Equity and Bonus:Equity

Perks:Health Insurance401kFamily PlanningParantal LeavePaid Leave

Key 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: 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:5+ yearsMachine learningGenAISecurity

Education:Bachelor's

Skills:PythonGoPyTorchTensorFlowML lifecycleData pipelinesProduction softwareSQL

Languages:English

Tech Stack:PythonGoPyTorchTensorFlowAirflowRayMLflowTritonONNXKubernetesDocker

Company Brief

Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2005

Website LinkedIn

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