Software Engineer - ML and Distributed Systems, Amazon Personalize
- Pay
- $165,200 – $223,600 per year
- Location
- Mountain View, CA
- Listed
- 3 days ago
About the role
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
Amazon Personalize is a deep learning AWS Service that makes it easy for developers to create individualized recommendations for customers. We're building a large-scale machine learning platform and are looking for senior engineers to architect and develop the platform.
If you have prior experience in building and scaling large-scale systems and ML pipelines and enjoy extracting maximum performance at every layer of the stack, we should talk.
You'll collaborate with product managers, scientists, and other engineers to rapidly deliver production ready solutions that have a broad business impact. This is a unique opportunity to join a fast-growing startup within AWS AI where you'll be working on latest technology, influence, and shape the technology, product, and business.
Key job responsibilities
- Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. * Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. * Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. * Build distributed storage, index, and query systems that are scalable, fault-tolerant, low-cost, and easy to manage and use. * Design and code the right solutions starting with broadly defined problems. * Work in an agile environment to deliver high-quality software.
A day in the life
The challenges SDEs solve at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Additional information
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Pay and benefits
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.
USA, CA, Mountain View - 165,200.00 - 223,600.00 USD annually
About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Equal opportunity and legal notices
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.
From Amazon.com Services LLC's careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.
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More at Amazon.com Services LLC
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What is the salary for the Software Engineer - ML and Distributed Systems, Amazon Personalize role at Amazon.com Services LLC?
The Software Engineer - ML and Distributed Systems, Amazon Personalize posting at Amazon.com Services LLC states compensation of $165,200 – $223,600 per year. Final pay may depend on location, experience, and interview evaluation on Amazon.com Services LLC's official career site.
Where is the Software Engineer - ML and Distributed Systems, Amazon Personalize job at Amazon.com Services LLC located?
This Software Engineer - ML and Distributed Systems, Amazon Personalize position at Amazon.com Services LLC is located in Mountain View, CA. Always check Amazon.com Services LLC's application page for specific state eligibility or relocation policies.
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