Manager Software Engineering - Machine Learning (Bellevue)

Zulily

Education
Benefits

zulily is a retailer obsessed with bringing our customers something special every day. Unique products from up-and-coming brands are featured alongside favorites from top brands, including clothing, home decor, accessories, toys and gifts, giving customers something new to discover each morning at an incredible price. We are fast-paced, innovative and metric-driven, with a team passionate for delighting our customers. Whether you want to work with incredible product selection, develop smart marketing plans, help us in our pursuit of faster fulfillment, or do something else awesome in between, we have a place for you. With locations in Seattle, Reno, Columbus and Bethlehem, our team is excited to be changing the way people shop every day - and we are just getting started.

Description

Engineering Managers are the technical experts.  They are responsible for hiring, managing, mentoring, and growing teams of software engineers and have a passion to build.  They work with product managers to translate product visions, business cases, and user experiences into technical requirements, scope development effort, and assign resources to execute against the prioritized product roadmaps. Engineering managers are responsible for the overall quality of the code both new and existing and ensure their teams have the tools they need to be successful. They are the architects for their space and collaborate on cross team designs with other engineering teams and business units to ensure a unified platform that scales and supports company growth.

 

As a Software Engineering Manager (Machine Learning Engineering) you will build machine learning and experimentation platforms and services for zulily.  You will lead a development team that is responsible for delivering personalized recommendations and bringing in marketing and merchandizing efficiencies. The successful candidate will have influence over the vision, features, and design of the critical ML models used to drive the business.   You will own all phases of development lifecycle from gathering business requirements, design and modeling, development, deployment, and support. You are responsible for all thing people on your team – hiring and developing a high performing team of software engineers. You will lead and manage all aspects of product management lifecycle from strategy through delivery and measurement and drive innovation in the Machine Learning Services space within an agile environment. 

Qualifications

7+ years’ experience in building services at scale.

5+ years’ experience in managing high performing software engineers.

3+ years’ experience working with ML and Data Science technologies.

Strong software and data structure design, development and architecture experience.

Proven history of working in a fast paced, evolving, growing and dynamic environment.

Ability to lead influence others and find creative solutions and move quickly to deliver them.

Bias towards collaboration with team members throughout the process and consult with other project teams.

Strong analytical skills with a data driven approach and ability to measure impact of project.

Exceptional communication skills and desire to educate others about our ML models.


Education

Bachelor’s Degree required or equivalent experience, Master’s Degree preferred.


zulily is an Equal Opportunity Employer

zulily participates in E-Verify. zulily will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodation include making a change to the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. You may reach us at (206) 388-0920.

Primary Location

Bellevue Office

Job

Technology

Job Type

Full-time

Read Full Description
Confirmed 30+ days ago. Posted 30+ days ago.

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