Software Development Engineer II, Profit Intelligence

Amazon • Seattle, WA

28d • Onsite

About The Position

Profit intelligence systems measure and predict true profit (or 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 the retail business. It seeks to answer what hidden factors are driving growth or profitability across millions of shipments each day. The team computes the profitability of each shipment that gets shipped out of Amazon and predicts the profitability of future possible shipments. The team is described as agile, can-do engineers who believe that moon shots are possible and can be done before lunch. They focus on finding new ideas that challenge preconceived notions and prioritize ideas and practical work over process and procedure. This is a place for exploring the new and taking risks. The team pushes the envelope in using cloud services in AWS, as well as the latest in distributed systems, forecasting algorithms, and data mining. They are looking for a Software Development Engineer who can bring bleeding-edge machine learning models into production with a multi-disciplinary team of Applied Scientists, 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.

Requirements

• 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
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Nice To Haves

• 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

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.
• 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.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level