eBay

Machine Learning Engineer (T25)

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
E-commerceIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 3 years of experience in Machine Learning Engineering. Strong experience with Big Data technologies, such as Spark and Hadoop, is required, along with proficiency in Python and experience deploying Machine Learning models.

Responsibilities

The Machine Learning Engineer will design, deliver, and maintain significant features in data pipelines, ML processing, and/or service infrastructure, optimize software performance for throughput and latency, and work with teams to implement solutions. They will also collaborate on building services for Search or information retrieval, design and run A/B tests, and contribute to the overall architecture of the Product Knowledge system.

Skills

Data pipelines
ML processing
Service infrastructure
API design
Performance optimization
A/B testing
Problem-solving
Complexity handling

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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