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RedditPosted Sep 15, 2026
Staff Machine Learning Engineer, AI Security
Remote - United Statesfull timeRemotesenior$230k–$322kH1B: yes
Reddit Staff Machine Learning Engineer, AI Security at Reddit leads development and optimization of machine learning models for AI security. The role combines hands-on model work with technical leadership across teams to enhance AI protections.
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.
Qualification
Experience applying ML to securityExperience with adversarial training401k with Employer MatchFamily Planning SupportGender-Affirming CareMental Health & Coaching BenefitsGenerous Paid Parental Leave
Required
- 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.
- Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains.
Benefits
- Dental
- Vision
- 401(k)
- Equity/RSU
- Parental Leave
- Wellness
Company
1001-5000 employees
Social Media
Founded 2005
Source: greenhouse
Active within the past hour
Remote-friendly