TL;DR

Staff Software Engineer (Machine Learning): Designing, building, and optimizing ML-driven distributed systems for search, recommendations, and personalization on an e-commerce platform with an accent on scalability, performance, and system reliability. Focus on leading technical initiatives, mentoring engineers, and collaborating across product, engineering, and data science teams to integrate ML models into customer-facing applications.

Location: Must be based in Bellevue, Washington, United States

Salary: $169,500–$271,500 USD

Company

%hirify_global% is a leading e-commerce company specializing in pet products and services, leveraging advanced machine learning and software engineering to enhance customer experience.

What you will do

Lead design, implementation, and delivery of large-scale distributed software systems for customer insights and personalization.
Partner with ML and Data Science teams to integrate ML models into applications.
Define technical vision and architecture for ML workflow and delivery systems.
Collaborate with cross-functional teams to translate business objectives into scalable engineering solutions.
Mentor engineers across multiple levels to foster technical growth and high-quality delivery.
Drive initiatives to improve developer productivity, system observability, and operational excellence.

Requirements

Location: Must be based in Bellevue, Washington, United States
Bachelor’s degree in Computer Science, Engineering, or related field.
12+ years of professional software engineering experience with 2+ years in Staff or Principal technical leadership.
Proven experience designing and delivering high-performance distributed systems.
Proficiency in Java, Kotlin, Python, Terraform, Jenkins, and cloud platforms (AWS, GCP, Azure).
Experience integrating ML pipelines, APIs, or data-driven applications.
Strong communication and collaboration skills.

Nice to have

Experience in e-commerce or retail.
Experience with modern MLOps and AWS Sagemaker.
Exposure to front-end or product-facing ML feature integration.
Experience with large distributed datasets and ML feature engineering.
Advanced degree (MS or PhD) in Computer Science or related field.

Culture & Benefits

401k and equity grants.
Comprehensive insurance including medical, vision, dental, life, disability, and more.
Parental leave, family services, backup dependent care.
Flexible spending accounts and telemedicine.
Unlimited PTO subject to manager approval and six paid holidays per year.
Employee discounts including pet insurance and %hirify_global%.com.