Jobs
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Searching titles and descriptions for “ML Engineer - Automated Evaluation and Adversarial Design”. A match may be a passing mention rather than the job itself. Titles only.
8 roles
2dSenior Product Data Scientist, Google Messages, Spam and AbuseGoogleSan José, CA, USA; Mountain View, CA, USA…Design and execute A/B tests and counterfactual analyses to evaluate the efficacy and side effects of anti-spam rules, ML model updates, and…
2dPrincipal AI Security SA, AWS Security & NetworkingAmazonSolutions ArchitectSeattle, Washington; Arlington, Virginia; New York, New York; Denver, Colorado; San Francisco, California…systems engineering, infrastructure, security, networking, data and analytics - Knowledge of distributed systems design and implementation or equivalent - Knowledge of large scale automation and workflow…
4dSecurity Research Intern - AI Focus…Hands-on experience with AI technologies, whether through building ML models, working with LLMs and prompt engineering, experimenting with agentic frameworks, or applying AI…
5dFraud Intelligence Lead…and post-launch evaluation to ensure fraud-awareness by design Ecosystem Monitoring & Knowledge Leadership - Continuously survey external fraud trends, adversary techniques, tooling, and emerging…
- 6dPrincipal Applied Scientist
…Scale E2E ML systems. Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase…
- 6dApplied Scientist, Ads Brand Safety and Suitability
…Develop multimodal evaluation pipelines reasoning across text, images, audio, and video in real time - Design adaptive ML systems resilient to adversarial evolution-- continuously learning…
6dRed Team Assoc Security Engineer II…Design secure, high-quality AI and software architectures, reviewing and challenging designs and code to ensure adversarial resilience. Reduce AI and LLM security vulnerabilities…
- 6dLead Security Engineer - Red Team
…Design secure, high-quality AI and software architectures, reviewing and challenging designs and code to ensure adversarial resilience. Reduce AI and LLM security vulnerabilities…