Shire Jobs

Description

Are you interested in building intelligence systems from the ground up?

Are you interested in working with Applied Scientists, Big Data Engineers and Software Development Engineers to build large-scale data intelligence systems?

Are you interested to work in a team that positively impacts different key pillars of Amazon like Pricing, Promotions, Advertising, Auto inventory purchasing, Auto inventory removal, Inventory placement?

Are you interested in working for a team that builds cool systems yet has great work-life balance?

Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer.

Profit Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business. What are the hidden factors driving the growth or profitability across millions of shipments each day?

Profit Intelligence provides these answers.

We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is finding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stuff done. This is a place for exploring the new and taking risks.

We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining.

We are looking for a Software Development Engineer who can bring bleeding edge machine learning models into production together with a highly multi-disciplinary team of Applied scientist, software development engineers, strategic partners, product managers and subject domain experts. As a software development engineer on this team, you will play a pivotal role in shaping the definition, vision, design, roadmap, and development of this set of product features from beginning to end.

Key job responsibilities

• Take responsibility for ensuring that Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise.

• Design solution architectures for applications that will use the machine learning models.

• Deploy applications to AWS’s cloud leveraging the full spectrum of the AWS cloud services.

• Automate model training and testing and deployment via machine learning continuous delivery pipelines.

• Design and implement metrics to verify model and algorithm effectiveness.

• Build web interfaces for seamless interaction with model onboarding, testing, and implementation.

• You will be responsible for designing and building platforms for crunching 100s of TB of in-coming data from dozens of sources and financial events around the company.

Basic Qualifications

• 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

Preferred Qualifications

• 5+ 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

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.

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 $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.