Machine Learning Engineer (T25) at eBay

Bengaluru, Karnataka, India

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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

Passion and commitment for technical excellence
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
4+ years of software design and development experience, tackling non-trivial problems in backend services and/or data pipelines
A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge
Experience in production-grade coding in Java, and Python/Scala
Experience in the close examination of data

Responsibilities

Design, deliver, and maintain significant features in data pipelines, ML processing, and/or service infrastructure
Optimize software performance to achieve the required throughput and/or latency
Work with your manager, peers, and Product Managers to scope projects and features
Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact
Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution
Take active part in knowledge sharing across the organization - both teaching and learning from others

Skills

Key technologies and capabilities for this role

Machine LearningBig DataPythonData PipelinesInformation RetrievalKnowledge GraphsSearchSoftware EngineeringData ScienceETLLow Latency SystemsOptimization

Questions & Answers

Common questions about this position

What compensation can I expect for this Machine Learning Engineer role?

You can expect a competitive salary, including stock grants and a yearly bonus.

Is this Machine Learning Engineer position remote or office-based?

This information is not specified in the job description.

What skills are required for the Machine Learning Engineer (T25) role?

The role requires skills in designing data pipelines processing billions of items with ML models, building low-latency search services, crafting API designs, and running A/B tests. Experience with Big Data, Machine Learning deployment, and optimization problems is essential.

What is the company culture like on the Product Knowledge team at eBay?

The team has a strong culture of collaboration with proficient people from Machine Learning, Data Science, Software Engineering, and more, promoting learning, impact, and growth. eBay values a healthy work culture that balances business impact with personal well-being.

What makes a strong candidate for this Machine Learning Engineer position?

Exceptional engineers who take pride in creating simple solutions to complex problems, love Big Data, deploying ML models, and handling challenging optimization problems will stand out.

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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