Offers “Amazon”

Expires soon Amazon

Software Development Engineer

  • Seattle (King)
  • Bachelor's Degree
  • Studies / Statistics / Data

Job description

DESCRIPTION

We doubt you missed the recent news, Amazon Business is proud to serve millions of business customers and hundreds of thousands of business sellers around the world with more than $10 billion in annualized sales !

This speaks to one of the fastest growing organizations at Amazon – where our team(Customer Acquisition and Adoption) is proud to be the team solely responsible to drive Business Customer Acquisitions, and lift their spend.
We do this primarily by ML powered systems that have the capabilities to identify and target prospect channels and data.

Our team in Amazon Business is building 1.) Machine learning models 2.) Also a framework to accelerate delivery of various ML projects by providing pre-computed reusable features, integration into ML workflows which can minimize overhead for teams for developing and owning machine learning models within AB ecosystem.

This is set to transform Amazon Business marketing and discovery !

This is a great place if ML, Distributed systems and innovation opportunities excite you.

The technical challenge - Can you build a framework to rapidly experiment with ML models? We experiment iteratively, we fail fast and we scale up faster.

What are we looking for? If the entire pipeline from data ingestion (EDX, Dryad etc), to interfacing with Sage Maker or Modal Factory to building Coral services that will vend out predicted results to downstream systems interests you, we would love to hear from you. You will be at the forefront of emerging big data projects that happens in other parts of Amazon with which this framework will eventually interface with.

Be part of this journey!

Desired profile

BASIC QUALIFICATIONS

· Bachelor's in engineering with focus on Computer Science or Electronics.
· 3+ years of software engineering in Java, C++, C#
· Demonstrated Problem Solving skills
· Passion for exploring new technologies
· Focus on OE

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