ML Engineering TL/Architect T27 at eBay

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, Biotechnology, Data & AnalyticsIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and a minimum of 10 years of relevant industry experience or an M.Sc. or Ph.D. in a relevant field with 7 years of industrial experience in Applied Machine Learning. Strong experience in multiple areas of Machine Learning, including classification, regression, NLP, clustering, Deep Learning/Neural Networks, and Reinforcement Learning is required.

Responsibilities

The Machine Learning Engineer will collaborate with Management and Product Management to shape the department’s vision and roadmap, design and deliver significant features in data pipelines, ML processing, and/or service infrastructure, seek scientifically valid solutions that deliver real value to eBay customers, carefully measure output and impact, collaborate with Operations on data quality, build Machine Learning models and data pipelines, mentor junior peers, promote scientific rigor and code quality, present technical work, and help interview and hire new teammates.

Skills

Machine Learning

Data Science

Big Data

Knowledge Graphs

Entity Resolution

Image Quality Scoring

Taxonomy Improvement

Conflict Resolution

Software Engineering

Data Analytics

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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