What are the responsibilities and job description for the Software Development Engineer, Catalog Experimentation & Impact Measurement position at Lensa?
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Description
Do you want to shape Amazon's experimentation capabilities in the era of Generative AI ? Our team develops experimentation capabilities that enable millions of Catalog data experiments. As we navigate the rapidly changing landscape of e-commerce and content generation, particularly with the advent of Generative AI, your role will be crucial in shaping how Amazon teams, sellers, and vendors optimize catalog data for superior customer experience. Our team's work is more important than ever as we help Amazon navigate the new era of AI-assisted content generation. We're building tools that allow our partners to rapidly iterate and measure the impact of new ideas, ensuring that the exponential growth in content translates to real value for our customers.
Our organization has a strong focus and great track record of growing our employees. This is a unique position that provides an opportunity to build data-driven systems at a scale. While building this platform, you will have the opportunity to learn the entire suite of Amazon catalog systems and services (ingestion, enrichment, validation, reconciliation, matching, storage,...) as well as the customer facing systems (search, product detail page, checkout page...) that consume and display catalog data. You'll also gain exposure to application of Gen-AI technologies, including large language models for image and text generation for catalog enrichment. This role offers a unique opportunity to work at the intersection of e-commerce systems and emerging AI technologies, allowing you to shape how we leverage Gen-AI to improve catalog quality, experiment with AI-generated content, and enhance overall customer experience.
Key job responsibilities
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.
Description
Do you want to shape Amazon's experimentation capabilities in the era of Generative AI ? Our team develops experimentation capabilities that enable millions of Catalog data experiments. As we navigate the rapidly changing landscape of e-commerce and content generation, particularly with the advent of Generative AI, your role will be crucial in shaping how Amazon teams, sellers, and vendors optimize catalog data for superior customer experience. Our team's work is more important than ever as we help Amazon navigate the new era of AI-assisted content generation. We're building tools that allow our partners to rapidly iterate and measure the impact of new ideas, ensuring that the exponential growth in content translates to real value for our customers.
Our organization has a strong focus and great track record of growing our employees. This is a unique position that provides an opportunity to build data-driven systems at a scale. While building this platform, you will have the opportunity to learn the entire suite of Amazon catalog systems and services (ingestion, enrichment, validation, reconciliation, matching, storage,...) as well as the customer facing systems (search, product detail page, checkout page...) that consume and display catalog data. You'll also gain exposure to application of Gen-AI technologies, including large language models for image and text generation for catalog enrichment. This role offers a unique opportunity to work at the intersection of e-commerce systems and emerging AI technologies, allowing you to shape how we leverage Gen-AI to improve catalog quality, experiment with AI-generated content, and enhance overall customer experience.
Key job responsibilities
- Design and implement specific features and components for the experimentation platform.
- Build and maintain measurement systems and metrics collection frameworks.
- Write scalable, efficient code to support the platform's growing user base, focusing on specific components or services.
- Develop new capabilities that enable users to effectively evaluate and optimize AI-generated content, ensuring we deliver the best value to our customers
- Work with product managers and other engineers to understand requirements and translate them into technical solutions.
- Participate in code reviews, share knowledge with junior engineers, and contribute to team's technical discussions.
- 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
- 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
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.
Salary : $129,300 - $223,600
