Backend & Applied AI/ML Engineer at eBay

Portland, Oregon, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Ecommerce, TechnologyIndustries

Requirements

Proven software engineering experience with a strong focus on backend systems and production-grade services
Proficiency in Java/Kotlin and Python, with the ability to write clean, efficient, and maintainable code
Deep understanding of backend architecture, distributed systems, modular design principles, and core system design fundamentals
Strongly preferred experience with: Applied AI/ML model integration, Hugging Face, PyTorch, Spring Boot, NoSQL databases, Spark
Ability to learn new technologies quickly and effectively leverage AI tools to enhance engineering workflows
Bachelor’s or Master’s degree in Computer Science or a related field
6–8 years working in software engineering roles
Excellent communication skills and a track record of collaborating successfully with geographically distributed teams
A passion for building high-quality, scalable software that delivers meaningful customer impact

Responsibilities

Design, build, and maintain backend services and distributed systems that are scalable, reliable, and aligned with eBay’s architectural standards
Write clean, efficient, testable code in Java/Kotlin and Python
Apply modular design principles and ensure clear separation of concerns across service boundaries
Support the integration, deployment, and optimization of AI/ML models to enhance product functionality and system performance
Partner with cross-functional teams—including ML, data, product, and other engineering groups—to deliver high-quality solutions for eBay’s marketplace
Use AI-driven tools and modern engineering practices to accelerate development and improve productivity
Participate in architectural discussions and contribute to shaping the direction of backend and applied AI/ML systems

Skills

Key technologies and capabilities for this role

JavaKotlinPythonBackend ServicesDistributed SystemsScalable SystemsAI/ML IntegrationModular Design

Questions & Answers

Common questions about this position

What programming languages are required for this role?

The role requires proficiency in Java/Kotlin and Python, with the ability to write clean, efficient, and maintainable code.

What is the salary range for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

The role involves working with a highly skilled and geographically distributed team, suggesting flexibility for remote work.

What is the team like at eBay for this role?

You will join a collaborative engineering team that builds scalable backend systems, partnering with applied ML engineers, data scientists, and cross-functional product teams.

What skills make a strong candidate for this Backend & Applied AI/ML Engineer role?

Strong candidates have proven backend engineering experience, proficiency in Java/Kotlin and Python, deep knowledge of distributed systems and architecture, plus preferred experience with AI/ML integration, Hugging Face, PyTorch, Spring Boot, NoSQL, and Spark.

eBay

Global online marketplace for buying and selling

About eBay

eBay is an online marketplace where individuals and businesses can buy and sell a wide range of products, including electronics, fashion, and collectibles. Users can list items for auction or use the 'Buy It Now' option for immediate purchases. eBay stands out from competitors with its vast selection, user-friendly interface, and strong buyer and seller protections, including free shipping on many items. The company's goal is to facilitate seamless transactions while generating revenue through transaction fees, advertising, and subscription services.

San Jose, CaliforniaHeadquarters

1995Year Founded

$6.5MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

401(k) Company Match

Paid Vacation

Parental Leave

Risks

Niche e-commerce platforms like StockX and Poshmark may draw away eBay's customers.

Social media platforms with shopping features could divert traffic from eBay.

Direct-to-consumer brands bypassing marketplaces may reduce eBay's seller base.

Differentiation

eBay offers a unique auction-style listing alongside 'Buy It Now' options.

The platform provides robust buyer and seller protections, enhancing trust in transactions.

eBay's vast product selection includes new, refurbished, and second-hand items.

Upsides

eBay's acquisition of GSI Commerce strengthens its position as a global commerce partner.

The rise of social commerce offers eBay opportunities to integrate social shopping features.

Increased focus on sustainability aligns with eBay's refurbished and second-hand product categories.

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