Software Dev Engineer II - ML, Amazon Business Marketing Science

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION :

Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential

Amazon Business (www.amazon.com / business) is an online store that combines the selection, convenience and value customers have come to know and love from Amazon, with new features and unique benefits tailored to the needs of businesses. Amazon Business provides easy access to hundreds of millions of products - everything from IT and lab equipment to education and food-service supplies. Amazon Business customers also enjoy a variety of benefits, including business-only pricing and selection, a multi-seller marketplace, single- or multi-user business accounts, approval workflow, purchasing system integrations, payment solutions, tax exemptions, dedicated customer support, Business Prime and more. Our customers range from government entities with tens of thousands of users to sole proprietors.

We are moving fast and have the ability to shape our tech infrastructure that will combine science and scalable engineering at a rapid pace. We are looking for a Machine Learning Engineer (MLE) to join the team to drive key science methods and delivery of the project, working closely with science, product and engineering leads, as well as our leadership. We're a fast-growing team with high visibility from the leadership team and lots of new opportunities.

Key job responsibilities

• Lead end-to-end Machine Learning projects that have a high degree of ambiguity,

scale, complexity.

production model, such as 1) model data pipelines : building data pipelines to produce

inputs for training and inference in both online and offline contexts. 2) Training and

inference pipelines : orchestration of model training and inference jobs. 3) Post-

inference work : work required after the model's output to serve business needs such

as integration with engineering systems.

machine-learning model development, model validation and serving.

experimentation platform.

expected of any complex system / service.

About the team

The Marketing Science team applies scientific methods and research techniques to enhance our understanding of AB consumer behavior, market trends, and the effectiveness of marketing strategies. Our goal is to develop and advance theories and models that can be used to make informed decisions in marketing and to provide insights into consumer decision-making processes. Additionally, we seek to identify and explore emerging trends and technologies in marketing, and to develop innovative approaches for addressing the challenges and opportunities in the field.

BASIC QUALIFICATIONS :

PREFERRED QUALIFICATIONS :

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.]]>