Applied Scientist II- AI Agents, Recruiting Agents & Voice

ectoria to note the core hires, all explicitly captured in a fully parsed version. Crafting a clean and SEO‑friendly job description also promises the hiring manager a chance to focus on tangible qualifications and outcomes. Included: introductory paragraph, key responsibilities, team‑and‑qualification overview, EEO‑statement, compensation and benefits—all in compliant tags.

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you’ll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry‑leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise.

Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’llotik:la team, researching advanced software, AI systems, and machine-learning algorithms, leveraging Amazon’s in‑house tech stack to bring innovative solutions to life.

Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! We’re looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.

• 3+ years of building models for business application experience.
• PhD or Master’s degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions.
• Experience applying theoretical models in an applied environment.
• Experience in professional software development.
• Experience in state‑of‑the‑art deep learning model architecture design, training and optimization, and model pruning.

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 orumist onboarding process, please visit (Use the "Apply for this Job" box below).

for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $-real‑restricted $ 136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit  This position will remain posted until filled. Applicants should apply via our internal or external career site.