DESCRIPTION

The Hiring Intelligence, Science & Experimentation (HIRISE) team is looking for a Software Engineer to help us define and build the future of high-volume hiring analytics. You will play a critical role in the design and implementation of a strategic product for Amazon and help connect millions of applicants with professional opportunities at Amazon. You will be surrounded by people who are passionate about new technology trends, and believe that state-of-the-art product is critical to customer success.

This role is in a new team that is focused on building Generative AI products. The role offers a chance to build and launch new GenAI initiatives for the ground up to be used widely, learn the latest in building with GenAI and Machine Learning (ML) technology. You will have the opportunity work closely with product, engineering, science, and design. AI/ML background is preferred but not required.

Key job responsibilities
– Lead development and launch of some of the core product features to help with processing analytics at scale.
– Have significant influence on our overall strategy by helping define these product features.
– Drive the system architecture
– Spearhead the best practices that enable a quality product.

A day in the life
You are perfect for this role if you…
– Possess a demonstrated track record of success in delivering new features and products.
– Commit to team work and possess strong communication skills, with both business and technical partners.
– Create reliable, scalable, and high-performance products requires exceptional technical expertise
– Have a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.
– Thrive and succeed in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.

About the team
The Hiring Intelligence, Science & Experimentation team comprises talented product, tech, design and science practitioners dedicated to becoming the best employer on earth through data-driven analysis and recommendations that help us staff every Amazon facility worldwide. We work to change the world with scalable insights, build trust in one another and never settle for less than amazing customer experiences.

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
– Generative AI (GenAI)
– Large Language Models (LLMs)

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.

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.

USA, WA, Seattle