ML Staff Software Engineer - Risk at eBay

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, Payments, Risk ManagementIndustries

Requirements

Masters in Computer Science or a related field with 7+ years of experience (or BS/BA with 8+ years) in building large-scale distributed applications and backend services
Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge
Experience in the close examination of data, computation of statistics, and deriving of data insights
Proven experience designing and operating Big Data processing pipelines (Hadoop, Spark) and working with NoSQL databases or key-value stores (e.g., MongoDB, Redis)
Hands-on experience with the end-to-end lifecycle of machine learning, including model deployment and application at scale. Experience in AI research or industrial recommendation systems is a significant plus
Experience with cloud services and familiarity with Large Language Models (LLMs) or prompt engineering is highly desirable
Passion for technical excellence, excellent communication skills, and a "can-do" attitude with a willingness to learn and master new technologies

Responsibilities

Design, deliver, and optimize high-performance, large-scale applications, data pipelines, and ML service infrastructure with exceptional speed and reliability
Enhance core products by skillfully integrating, fine-tuning, and deploying advanced machine learning models for optimal performance and impact
Command the full software development lifecycle—from initial design and architecture to coding, testing, deployment, and maintenance—while producing clean, efficient, and documented code
Develop and execute sound technical strategies for complex projects, taking into account business goals, timelines, and long-term impact
Work closely with product managers and partners to translate business requirements into robust technical solutions, ensuring alignment across teams
Take ownership of cross-team engineering efforts and guide junior team members, setting a high standard for technical excellence and professional growth
Drive innovation by developing novel solutions to challenging problems and actively contribute to a culture of knowledge sharing by both teaching and learning from others

Skills

Key technologies and capabilities for this role

Machine LearningSoftware DevelopmentData PipelinesML InfrastructureModel Fine-tuningModel DeploymentScalable Systems

Questions & Answers

Common questions about this position

What is the salary for this ML Staff Software Engineer role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What experience and skills are required for this role?

A Masters in Computer Science or related field with 7+ years of experience (or BS/BA with 8+ years) in building large-scale distributed applications and hands-on experience in machine learning is required, along with a platform-centric approach.

What is the team culture like at eBay for this role?

The team is collaborative, thrives on creativity and resourcefulness to tackle sophisticated challenges, and consists of passionate thinkers, innovators, and dreamers who drive innovation and knowledge sharing.

What makes a strong candidate for this position?

Strong candidates have a strong background in software development, hands-on ML experience, a platform-centric approach, and a proven track record in scalable solutions, with the ability to lead cross-team efforts and guide junior members.

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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