Senior Machine Learning Engineer, Sponsored Products Demand Utilization

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with common machine learning techniques such as pre-processing data, training, evaluation of classification and regression models.
- Experience in building large-scale machine-learning infrastructure for online recommendation, ads relevance and/or ranking, personalization, search, or similar area.
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Industry experience in software development.
- Experience with machine learning in production
- Excellent software systems design experience
- Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.
- Experience with system programming like C, C++, or Rust.
- Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing
- Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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 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!

Does serving ads to billions of search requests daily and finding the most relevant ads for a search page from billions of ads in 10s of milliseconds excite you? The Sponsored Products Search Sourcing team owns identifying the relevant ads to surface to customers when they search for products on Amazon. We strive to understand our shoppers’ intent and identify relevant ads which enable them to discover new and alternate products. This also enables sellers on Amazon to showcase their products to customers, which may at times be buried deeper in the search results.

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.

We are looking for a Senior Software Engineer, who can drive appropriate technology choices for the business. You will build services to handle billions of requests per day, while maintaining response latencies in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. 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.

Job Responsibilities:
- Work closely with applied scientists and drive the direction of our technical solutions for deep learning and large models: inference speed for real-time or asynchronous serving, enhance debuggability, and help our scientists to iterate faster.
- Design, develop, and production software to support scalable offline machine-learning pipelines.

Impact and Career Growth:
This is a rare opportunity to work on new projects that are responsible for billions of dollars in revenue as well as work alongside many of the best and brightest science and engineering talent within Amazon. This is a highly visible role that will help take our solutions to the next level. The work you deliver will have a direct impact on customers and revenue!

Why you love this opportunity:
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Team video https://youtu.be/zD_6Lzw8raE