Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Search & Recommendations team at eBay builds powerful recommendation systems, including live ranking, deep learning retrieval, and machine-learned ranking models, to enhance the buyer experience on our website and app platforms. We are seeking a software engineer to help compose, implement, test, and deploy reliable ranking and recommendation features at eBay scale, collaborating with global teams to build and improve personalized e-commerce shopping experiences.

Responsibilities

Drive engineering delivery of live ranking and recommendations experiences on a variety of surfaces at eBay.
Work with a team of applied researchers and engineers with deep expertise in recommender systems, machine-learned ranking, natural language processing, computer vision, large language models / AI, and ML production engineering.
Develop and sustain production services, feature pipelines, model integration points, and experimentation workflows that support real-time and near-real-time recommendations.
Work with large-scale distributed systems serving high-volume traffic, distributed data stores, billions of impressions per day, and low latency SLA requirements.
Develop extensible and maintainable software systems for recommendation ranking, candidate enrichment, feature creation, model serving, monitoring, and deployment.
Collaborate with product, analytics, applied research, and engineering team members to transform new feature requests into build options, implementation plans, production launches, and measurable business outcomes.
Support iterative A/B testing by enabling experiments, analyzing results, learning from outcomes, and using those findings to drive the next feature iteration.
Contribute to reusable patterns, documentation, and engineering practices that help the Live Ranking recommendations team move faster and with higher quality.

Requirements

A Master’s degree in Computer Science or a related field with over two years of relevant experience is required. Alternatively, a Bachelor’s degree with more than four years of relevant experience in Software Engineering is acceptable.
Experience crafting and implementing efficient, practical, extensible, and maintainable software systems in an OO language such as Java, Scala, or a similar production language.
Experience translating product or research requirements into technical build options, estimates, feature specs, and production-ready implementation plans.
Demonstrated ability to work independently on prioritized functional areas while communicating assumptions, risks, task clarifications, and tradeoffs to collaborators upfront.
Proven capability to work together with product, analytics, applied research, and engineering groups to achieve quantifiable business and technical results.

Skills

ranking
recommendations
search
personalization
experimentation
machine learning systems
large-scale data pipelines
streaming processing
batch processing
distributed data platforms
Hadoop
Kafka
Spark
Flink
Python
ML pipelines
feature engineering
model integration
model evaluation
LLM workflows
A/B testing
experiment configuration
launch evaluation
data-guided product iteration
academic papers
patents/IP
technical blogs

Experience Level

over two years of relevant experience
more than four years of relevant experience

Education Level

Master’s degree in Computer Science or a related field
Bachelor’s degree

About the Company

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells.
Our platform empowers millions of buyers and sellers in more than 190 markets around the world.
We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day.
We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Looking for a company that fosters passion, courage, and creativity, where you can join the team crafting the future of global commerce?
Want to build how millions of people buy, sell, connect, and share around the world?
If you want to be part of a purposeful community focused on developing an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.

Equal Opportunity

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.
If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible.
View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process.
To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.