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Machine Learning Engineer, Sponsored Product Demand Utilization

Job ID : 3054302 | Amazon.com Services LLC

About the Role

This position will be part of the Sponsored Product Demand Utilization team within the Amazon Advertising organization. You will work hands-on with scientists from day one, with exposure to all aspects of model lifecycle, and productionization of ML systems. This position is ideal for an engineer with prior MLOps or MLInfra experience looking to have exposure to science, with impact and ownership through engineering.

You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, Large Language Models, and Generative AI.

About the Org

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non-obtrusive. This area is of strategic importance to Amazon Retail and Marketplace business, driving long term-growth.

Realtime systems within our org operate with tight 10s of milliseconds, and high throughput requirements for offline systems, resulting in high impact from performance optimization.

Key job responsibilities

• Serve as a tech lead for defining innovative and cutting edge ML infrastructure for both inference and training
• Build POCs and infrastructure for deploying and supporting models in production. Own A / B testing of experiments using this infrastructure
• Work closely with scientists across the org to understand requirements and impact opportunities
• Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge ML Infra can help improve customer experience
• Stay on top of modern ML Infra and ML Ops technologies to understand where they can provide the most value within the org
• Help attract and recruit technical talent, mentor engineers and scientists in the team

An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

Impact and Career Growth :

This is a rare opportunity for an ML focused SDE within Amazon to work directly with, and sprint with talented scientists while delivering impact across teams in the SP Demand Utilization Org. You will have experience working with multiple stakeholders across the org. You will have hands-on experience building and deploying production machine learning systems at scale, with opportunities for some of the largest revenue impact from an org within Amazon. This is a highly visible role that will have a direct impact on customers and revenue!

Why you love this opportunity :

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300 / year in our lowest geographic market up to $223,600 / 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 https : / / www.aboutamazon.com / workplace / employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

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