Software Development Engineer, WFI Field: Data

Amazon • Seattle, WA

67d

About The Position

Want to work for a fast-paced, innovative team? Want to work on ground-breaking
initiatives? Want to work on problems that have massive scale but also need high
precision? We are seeking a strong data science leader for our Workforce
Staffing organization.
Workforce Staffing is responsible for hiring hourly associates into our global
fulfillment operation. Each year we hire over 1 million associates across the
globe. Workforce Intelligence (WFI), a subsidiary of Workforce Staffing (WFS), is responsible for driving decisions that help Workforce Staffing deliver the
scale and precision it needs while minimizing the cost of hiring. WFI manages
data acquisition, engineering, research, science and products that help WFS make
the best decisions. Hiring over 1 million associates around the world presents
the largest staffing challenge in a private company environment. The complexity
is high and precision is needed because over hiring leads to unnecessary
increase in wage and under hiring leads to delayed delivery of products to
Amazon’s customers. There are over a dozen levers that WFS can pull to manage
the scale and precision of hiring.
As a Software Engineer, you will work closely with science teams to bring
research to production. This is a role that combines engineering knowledge,
technical strength, and product focus. It will be your job to implement novel ML
systems, product integrations, and performance optimizations. You will guide the
direction of a MLOPS automation framework via collaboration with the engineering
and research communities.
You will collaborate with software engineering teams to integrate successful
experimental results into complex Amazon production systems and you will provide
support for business continuity on a rotating on call.
Almost everyday offers new challenges and opportunities for growth. Where one
day will offer implementation of Self-Service MLOps tooling, the next day may be
focused on our operational excellence in maintaining our code base. Later in the
week, you may sort technical challenges with our partners to help them enrich
their products with our models. On some days or weeks, you may watch over our
products and stand ready to intervene and provide support to partners consuming
our models.
We work back to back to address the technical challenges of automation across a
variety of products, software, and systems. Our scientists and machine learning
engineers work in synergy to solve hard problems and enrich each other's skills.
Together, we are a team of global specialists bringing the potential of
practical ML and AI to the max with impact on over a million of candidates
applying for a Job in Amazon.

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

• implement novel ML systems
• product integrations
• performance optimizations
• guide the direction of a MLOPS automation framework via collaboration with the engineering and research communities
• collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems
• provide support for business continuity on a rotating on call

Benefits

• 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