Software Development Engineer, Ads Marketing Decision Science
Amazon New York
We are looking for a motivated and experienced Software Development Engineer with deep understanding in advertising businesses to be part of a team of talented scientists and engineers to innovate, iterate, and solve real world problem with cutting-edge AWS technologies.
In this role, you will design, develop, and maintain multiple highly scalable ML/AI services for Amazon advertisers. You will take a leading role in defining the problem, innovating the ML/AI solutions, and information the tech roadmap. You will join a cross-functional, fun-loving team, working closely with scientists and engineers on a daily basis.
We analyze the needs, experiences, and behaviors of Amazon advertisers at petabytes scale, to deliver the right marketing communications to the right advertiser at the right team to help them make the data-informed advertising decisions. Our science-based products enable applications and synergies across Ads organization, spanning marketing, product, and sales use cases.- 3+ years of non-internship professional software development 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.
In this role, you will design, develop, and maintain multiple highly scalable ML/AI services for Amazon advertisers. You will take a leading role in defining the problem, innovating the ML/AI solutions, and information the tech roadmap. You will join a cross-functional, fun-loving team, working closely with scientists and engineers on a daily basis.
You will innovate on behalf of our customers by prototyping, supporting functional proofs of concept (POCs) development, and partnering with our scientists to productize and scale successful POCs. If you are passionate about creating the future, come join us as we have fun, and make history.
Key job responsibilities- Architect MLOps infrastructure and drive MLOps best practices to ensure coherence and integrity of data feeding into production ML/AI solutions for Ads Marketing
- Define and execute a research & development roadmap that drives data-informed decision making for marketers and advertisers
- Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale
- Partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases
- Drive and lead of culture of data-driven innovations within and outside across Amazon Ads Marketing orgs
About the team
Marketing Decision Science provides science products to enable Amazon Ads Marketing to deliver relevant and compelling guidance across marketing channels to prospective and active advertisers for success on Amazon. We own the product, technology and deployment roadmap for AI- and analytics-powered products across Amazon Ads Marketing.We analyze the needs, experiences, and behaviors of Amazon advertisers at petabytes scale, to deliver the right marketing communications to the right advertiser at the right team to help them make the data-informed advertising decisions. Our science-based products enable applications and synergies across Ads organization, spanning marketing, product, and sales use cases.- 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
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems- 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
- Experience designing, developing, and operating recommender systems
For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.
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