AI/ML Staff Software Engineer at eBay

Bengaluru, Karnataka, India

eBay Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
EcommerceIndustries

Requirements

  • At least 5 years of experience in building AI/ML-based products and solutions in production environments
  • Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge
  • Proven expertise in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, Keras
  • 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
  • Experience in the close examination of data and computation of statistics
  • Proficiency in working with large scale data in Hadoop and Spark
  • Proficient with prediction accuracy, latency, throughput, confidence scores, and drift (data & concept)
  • Strong programming, system design, and debugging skills
  • Experience working in domains such as fraud detection, credit risk, compliance, advertising, or recommendations is highly preferred
  • Publication of research papers or technical articles in ML conferences or journals is highly desirable
  • Bachelor’s or Master’s in CS, Engineering, Math, or related field; PhD preferred but not required

Responsibilities

  • Design and build machine learning models to detect fraud, bot attacks, collusion etc
  • Perform feature engineering, model development, evaluation, and optimization for high-accuracy ML applications
  • Fine-tune and implement Deep Neural Network (DNN) architectures
  • Construct robust ML pipelines for training, validation, and deployment using modern ML stacks
  • Apply prompt engineering techniques with Generative AI models (LLMs, diffusion models, etc.) to tackle application-driven problems
  • Leverage vector databases and build/optimize embeddings for search, retrieval, and semantic understanding
  • Lead efforts in simulation, synthetic data generation, and experimentation
  • Build reliable APIs and services that expose ML model outputs for real-time decisioning
  • Evaluate bias and fairness across population subgroups
  • Maintain logging, tracing, and alerting for model inputs/outputs, feature importance, versions, and pipeline steps
  • Lead and participate in data validation, preprocessing, and cleansing workflows to ensure ML readiness
  • Work closely with engineers, product managers, and collaborators to develop scalable ML-powered applications

Skills

Key technologies and capabilities for this role

Machine LearningDeep Neural NetworksFeature EngineeringModel EvaluationML PipelinesPrompt EngineeringGenerative AILLMsDiffusion ModelsVector DatabasesEmbeddingsFraud Detection

Questions & Answers

Common questions about this position

What is the salary for this AI/ML Staff Software Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need at least 5 years of experience building AI/ML products in production, a solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics, plus proven expertise in Python and ML libraries like scikit-learn, XGBoost, TensorFlow, PyTorch, and Keras, along with deep knowledge of ML fundamentals.

What is the company culture like at eBay's Risk team?

The team fosters an innovative culture and a collaborative environment, encouraging continuous learning and growth, with a focus on authenticity, bold ideas, and bringing your unique self to work.

What makes a strong candidate for this ML Engineer role?

A strong candidate will have at least 5 years of production AI/ML experience, expertise in Python and key ML libraries, strong fundamentals in data structures, algorithms, OOP, software design, and statistics, plus hands-on knowledge of ML algorithms and evaluation.

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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