Job description

Are you passionate about transforming complex technical challenges into elegant, automated solutions that empower customers to leverage innovative technology? Do you thrive on building highly scalable systems that process massive amounts of data and deliver actionable insights through advanced analytics, machine learning, and AI assisted learning? Our mission: Every action - human or agent is recorded, assessed, and provably governed. Continuously and anywhere. Automatically. At any scale. We are looking for a strong Applied Scientist for new features and services that will allow our customers to fine-tune Natural Language Inference (NLI) model, framework decomposition, and evidence auto-linking that produce every customer-visible compliance verdict. About the team Our team is leading AI/ML research and development in the security and governance space. We use state-of-the-art science and engineering practices to provide continuous compliance and risk analysis, and we move fast to implement solutions and refine them based on customer feedback. Our team is adding additional focus on next-generation capabilities including AI-assisted development workflows, observability/governance for AI agents, and advanced analytics. This role will allow you to drive executive alignment and technical innovation. - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - 5+ years of building machine learning models for business application experience - Experience in automation or monitoring frameworks, deployment or development - Demonstrated experience with generative AI and LLMs — fine-tuning, prompting, retrieval, or post-training. - Experience designing evaluation frameworks for open-ended or subjective tasks where ground truth is expensive or unavailable, including synthetic data generation. - Experience with agentic and multi-turn systems, including RL-based post-training (RLHF/RLAIF/GRPO or similar), environment simulation, or agent harness evaluation. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Requirements

Must-haves

Our mission: Every action - human or agent is recorded, assessed, and provably governed. Continuously and anywhere. Automatically. At any scale.
About the team
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
5+ years of building machine learning models for business application experience
Experience in automation or monitoring frameworks, deployment or development
Demonstrated experience with generative AI and LLMs — fine-tuning, prompting, retrieval, or post-training.
Experience designing evaluation frameworks for open-ended or subjective tasks where ground truth is expensive or unavailable, including synthetic data generation.
Experience with agentic and multi-turn systems, including RL-based post-training (RLHF/RLAIF/GRPO or similar), environment simulation, or agent harness evaluation.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

machine learningaimljavapython

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave