Lead design, architecture, and delivery of Amazon Ads’ auto‑optimization platform, building agent execution engines, action layers, evaluation pipelines, and safety standards.
Locations (2)
New York, New York, United States
Seattle, Washington, United States
Compensation
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the auto‑optimization platform’s architecture and roadmap
Build agent execution engine and action layer for live campaigns
Set safety standards and audit trails
Develop offline and online evaluation pipelines
Prototype new system designs and agent patterns
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
As a Sr Principal AI Researcher, you will advance the cybersecurity capabilities of large language models and autonomous AI agents by combining security research, rigorous evaluation, and applied LLM post-training.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
Design reproducible training and evaluation environments for complex cybersecurity tasks, including vulnerability research, threat analysis, detection, investigation, remediation, secure coding, and autonomous security workflows.
Transform source-code repositories, vulnerabilities, security incidents, malware samples, threat intelligence, detection logic, patches, test harnesses, and security tools into structured tasks for LLMs and AI agents.
Develop high-quality security datasets, including synthetic data, hard negatives, adversarial examples, expert annotations, and model-generated trajectories.
Build reliable graders, verifiers, and reward signals using tests, compilation, runtime behavior, security-tool outputs, detection results, vulnerability reproduction, and other domain-specific validation methods.
Design evaluations for security reasoning, code understanding, threat analysis, root-cause analysis, tool use, long-horizon execution, and autonomous task completion.
Senior Software Development EngineerNewAmazon · New York, US+1 more