MTS2- ML Staff Software Engineer - Risk at eBay

Bengaluru, Karnataka, India

eBay Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Ecommerce, 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
  • A 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 Applications

Questions & Answers

Common questions about this position

What is the salary for this MTS2 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 focused on innovation and knowledge sharing.

What makes a strong candidate for this ML Staff Software Engineer position?

Strong candidates have a Masters (7+ years exp) or BS/BA (8+ years exp) in CS or related, hands-on ML experience, a platform-centric approach, and a proven track record in scalable software solutions, with ability to lead cross-team efforts and guide juniors.

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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