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Staff Machine Learning Engineer, AI Security

Reddit· Security, Privacy & Assurance
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Remote$230k - $322kfull-timePosted 1mo ago

About the role

Founding staff-level IC role to lead development, training, and optimization of ML models for AI security at Reddit. Focus on security-aware ML systems, model architectures, data, and cross-team technical leadership to improve AI protections while maintaining product quality.

Responsibilities

  • Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems.
  • Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability.
  • Set the technical vision and multi-quarter modeling roadmap, partnering with cross-functional teams to gather requirements, define model architectures, and iterate on model development.
  • Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness, and define launch criteria that balance false positives, latency, throughput, reliability, and cost.
  • Own training-data quality and the production model lifecycle, using monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback.
  • Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use.
  • Stay current with research in NLP, large language models, and relevant multimodal techniques, translating promising advances into measurable model improvements.
  • Mentor engineers and lead technical discussions and reviews, shaping the team’s long-term ML capabilities and AI security direction.

Qualifications

  • 8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams.
  • Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration.
  • Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs.
  • Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps.
  • Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners.

Skills

Required:Model architecture designTraining data governanceExperimentation and evaluationPythonTensorFlow / PyTorch / TransformersDistributed trainingML platform and pipelines
Nice to have:Security / adversarial ML

Benefits

  • 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 Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
Last updated Oct 7, 2026. Interested? Apply on the company site.
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