Senior Backend Engineer, ML Systems at eBay

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Ecommerce, TechnologyIndustries

Requirements

MS in Computer Science or related area with 6 years of relevant work experience (or BS/BA with 8 years) in ML / AI / Data Engineering
Expert in production engineering practices and software development in an OO language (Scala, Java, etc.)
Extensive experience in big data distributed processing frameworks, e.g. Apache Hadoop, Spark, Flink
Experience with ML frameworks like TensorFlow and PyTorch from a production perspective
Experience with serving frameworks (TensorFlow Serving, TorchServe, NVIDIA Triton) and libraries for LLM operations (LangChain, Hugging Face Transformers) preferred
Proven ability to build and manage CI/CD pipelines for ML models

Responsibilities

Design, build, and maintain scalable, production-grade machine learning systems for real-time recommendations and generative services
Develop and own the MLOps pipelines for continuous integration, continuous delivery (CI/CD), training, validation, and monitoring of all recommendation models
Engineer robust data pipelines using big data technologies to process vast datasets for model training and feature engineering
Implement and optimize both traditional ML models and state-of-the-art Generative AI models (including LLMs) for low-latency serving and high-throughput environments
Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production-ready code
Develop and manage the APIs and infrastructure necessary for serving recommendations and integrating with other systems
Champion software engineering best practices, including code reviews, testing, and documentation, within the machine learning team
Monitor system performance, identify and resolve production issues, and continuously improve the reliability and efficiency of our ML services
Mentor other team members through code reviews, technical guidance, architecture design, and pair programming

Skills

Deep Learning

Generative AI

MLOps

Machine Learning

Data Pipelines

APIs

System Design

Retrieval Systems

Ranking Models

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