Staff Machine Learning Engineer, AI Security

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $230k - $322k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• 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 • Partner with platform engineers to improve inference performance, resource efficiency, and operational reliability • Set the technical vision and multi-quarter modeling roadmap • Gather requirements, define model architectures, and iterate on model development with cross-functional teams • Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness • Define launch criteria balancing false positives, latency, throughput, reliability, and cost • Own training-data quality and the production model lifecycle • Use 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 • Mentor engineers and lead technical discussions and reviews

🎯 Requirements

• 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 • Preferred: Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains • Preferred: Experience with adversarial training, model distillation, active learning, or synthetic-data generation

🏖️ 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 • Equity in the form of restricted stock units • Medical, dental, and vision insurance • Flexible vacation and parental leave