Senior Backend Engineer, ML Systems at eBay

Bengaluru, Karnataka, India

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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

Key technologies and capabilities for this role

Deep LearningGenerative AIMLOpsMachine LearningData PipelinesAPIsSystem DesignRetrieval SystemsRanking Models

Questions & Answers

Common questions about this position

What is the employment type for this Senior Backend Engineer role?

The position is full-time.

Is this Senior ML Engineer position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Senior Backend Engineer, ML Systems role?

The role requires expertise in designing scalable ML systems, developing MLOps pipelines for CI/CD, training, validation, and monitoring, engineering data pipelines with big data technologies, implementing ML and Generative AI models including LLMs, and building APIs and infrastructure.

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

eBay fosters a culture where customers are the compass, authenticity thrives, bold ideas are welcome, everyone can bring their unique selves, and team members join passionate thinkers, innovators, and dreamers to build communities.

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

Strong candidates are senior engineers passionate about bringing ML and Generative AI models from prototype to production, with experience in the full ML lifecycle, system design, MLOps, data pipelines, and collaborating with researchers.

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