Senior ML Engineer at eBay

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, TechnologyIndustries

Requirements

At least 5 years of experience in building, training and productionalizing AI model or conventional models
Strong Expertise with Python, Keras, Tensor Flow, Pytorch, Scikit modules
Deep understanding of machine learning fundamentals, algorithms, and model evaluation techniques
Hands-on experience with ML Ops tools and best practices
Experience with OCR, NLP, vector search, embeddings, and LLM-based applications (strong desired)
Experience in the close examination of data and computation of statistics
Expertise in building features in feature store
Proven skills in enhancing model lifecycle management, particularly within complex ML platforms
Ability to work effectively in a collaborative and agile environment, managing multiple projects simultaneously
Deep understanding of both CPU and GPU serving platforms, and effectively bridging technological gaps
Experience working in large-scale AI transformations within prominent product companies (a plus)
Strong communication skills and the ability to articulate complex technical concepts to diverse audiences
Experience in adversarial space like risk, security, bot mitigation or ads, recommendation (strong plus)
Experience with prompt engineering + RAG with COT, COV to build production grade solution (strongly desired)
Bachelor’s or Master’s in CS, Engineering, Math, or related field; PhD preferred but not required

Responsibilities

Drive innovations in building models using ML/NLP/AI to prevent fraud and increase trust at eBay marketplace
Collaborate across multifunctional teams to integrate cutting-edge ML solutions that directly impact eBay's Risk mitigation and fraud prevention
Implement and refine model deployment processes that facilitate quick and efficient model releases from offline to online environments
Contribute to multi-functional problem-solving activities, assisting in developing advanced technological solutions for complex business situations
Engage in continuous learning opportunities, staying updated with the latest industry trends and technologies to drive eBay's success further

Skills

Key technologies and capabilities for this role

Machine LearningNLPAIModel DeploymentModel Lifecycle ManagementFraud Detection

Questions & Answers

Common questions about this position

What is the salary for this Senior ML Engineer position?

This information is not specified in the job description.

Is this Senior ML Engineer role remote or office-based?

This information is not specified in the job description.

What skills are required for the Senior ML Engineer role?

Required skills include at least 5 years of experience in building, training, and productionalizing AI or conventional models, strong expertise with Python, Keras, TensorFlow, PyTorch, and Scikit-learn modules, deep understanding of machine learning fundamentals, and hands-on experience with MLOps tools.

What is the company culture like for this team at eBay?

The Risk Engineering team fosters an innovative culture and a collaborative environment, encouraging continuous learning and growth.

What makes a strong candidate for this Senior ML Engineer position?

Strong candidates will have experience with OCR, NLP, vector search, embeddings, and LLM-based applications, expertise in building features in feature stores, proven skills in model lifecycle management, and the ability to work effectively in collaborative agile environments.

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