Buyer Machine Learning Engineer

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

EcommerceIndustries

Requirements

Candidates must possess an MS in Computer Science or a related field with 6 years of relevant work experience, or a BS/BA with 8 years of experience in Engineering, Machine Learning, or AI. Experience building large-scale distributed applications, expertise in an OO language like Scala or Java, and familiarity with NoSQL databases and key-value stores such as MongoDB or Redis are essential. A generalist mindset with a willingness to learn new skills is required. Experience with cloud services, particularly GCP, big data pipelines (Hadoop, Spark), AI applied research, industrial recommendation systems, Large Language Models (LLMs), and prompt engineering are considered a plus.

Responsibilities

The Machine Learning Engineer will influence the future of eBay's recommender systems and their technological evolution. They will work with large, unique datasets of unstructured multimodal data representing eBay's inventory and user base. Responsibilities include developing and deploying state-of-the-art AI models to production that directly impact eBay buyers, deploying big data technology and large-scale data pipelines, and driving marketplace GMB and advertising revenue through organic and sponsored recommendations.

Skills

Machine Learning

Deep Learning

NLP

LLM

GenAI

RAG

MLOps

GCP Vertex AI

Recommendation Systems

Personalization

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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