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Salary
$253k – $342k per year
Location
In office (Santa Clara)
Seniority
Senior · 10+ years exp
Visa
H-1B filings in 12 months: 16,768 · green card filings: 56
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 28, 2026. Amazon scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

Amazon SageMaker is a fully managed machine learning platform that enables developers and data scientists to build, train, tune, and deploy ML models at scale. SageMaker removes the heavy lifting from each step of the machine learning workflow, making it easy to develop high-quality models with broad framework support, built-in algorithms, and one-click deployment.

Amazon SageMaker is designed to democratize machine learning by providing a comprehensive set of tools spanning data preparation, model development, training infrastructure, experiment tracking, model hosting, MLOps automation, and responsible AI governance. The platform scales seamlessly from single-node experimentation to distributed training across thousands of GPUs, and from real-time inference to cost-efficient batch and asynchronous endpoints. SageMaker integrates deeply with the AWS ecosystem to deliver enterprise-grade security, compliance, and reliability for production ML workloads.

As Director of Engineering for Amazon SageMaker, you will be responsible for leading a group of top talent in the design and development of next-generation machine learning infrastructure and platform services on AWS. You'll also own the business strategy and roadmap for the service and will be responsible for all aspects of its end-to-end engineering and growth.

Basic qualifications

- 10+ years of engineering experience

- 5+ years of engineering team management experience

- 10+ years of planning, designing, developing and delivering consumer software experience

- Experience partnering with product or program management teams

- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

Preferred qualifications

- Experience partnering with product and program management teams

- Experience designing and developing large scale, high-traffic applications

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Santa Clara - 253,100.00 - 342,300.00 USD annually

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