$144K to $194K a year as published by the employer
Applications are completed on the employer's own site.
Build and maintain automated evaluation and release systems for machine learning models and agent architectures.
Continuum is autonomous security at machine speed: discover, validate, prioritize, and remediate code vulnerabilities. You will own the evaluation and release systems that determine what ships and when.
What we're looking for
Strong engineering fundamentals with experience in ML or evaluation infrastructure Hands-on experience with experiment design, A/B testing, or online evaluation Comfort at the boundary of research and production Experience with agent systems, LLM evaluation, or ML pipelines is a plus
Key job responsibilities Production evaluation systems
Build automated pipelines that evaluate changes to Continuum's models, prompts, tools, and agent architecture. Provision realistic environments, run deployed agents, grade results, and compare candidates against baselines. Design for asynchronous, nondeterministic agent behavior. Create reusable workflows so new capabilities follow a standard evaluation and release path.
Online experiments and release decisions
Design Continuum's A/B testing and online evaluation system. Support shadow evaluation, canary releases, and controlled experiments. Build treatment assignment, exposure logging, guardrail metrics, stopping criteria, and rollback. Define metrics for quality, safety, latency, cost, and reliability. Build dashboards that surface regressions and produce readouts that explain what changed and what to monitor post-launch.
Shipping agent capabilities
Turn prototypes into production features alongside scientists and security engineers. Package changes to models, prompts, tools, planning, memory, and agent coordination behind stable interfaces. Own science-side integration end to end: APIs, data contracts, versioning, telemetry, release tests, and production requirements for tenancy, durability, scaling, and failure recovery.
Basic Qualifications:
Preferred Qualifications:
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
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