Applied research

eBay; Bengaluru; On-site; INR 3,600,000 - 6,000,000; Full time

Benefits offered by this job

Stock grants

Yearly bonus

Healthy work culture

Social responsibility

Job summary

eBay in Bengaluru is seeking a Lead Machine Learning Engineer to build and scale production ML systems powering customer-facing experiences. You will integrate research models into production, ensure reliability, and drive end-to-end ML lifecycle. You will mentor engineers and lead complex projects to completion.

The role requires leading ML engineering efforts with strong Python, Spark, and MLOps experience, delivering scalable, cost-efficient solutions in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
• 9+ years of experience building ML or data-driven systems.
• Strong foundations in ML system design.
• Strong programming experience in Python.
• Working knowledge of SQL and basic Spark / PySpark for data processing.
• Experience with model serving, MLOps, and monitoring systems.
• Proven ability to lead projects and mentor team members.
• Strong communication and collaboration skills.

Responsibilities

• Productionize ML models and integrate them into pipelines.
• Design and maintain ML pipelines for feature generation and inference.
• Work with large-scale datasets and distributed processing frameworks (e.g., Spark).
• Define model health metrics, monitoring, and alerting strategies.
• Architect ML systems that meet latency, throughput, and scalability requirements.
• Drive code quality, reusability, and engineering best practices.
• Optimize systems for cost, performance, and efficiency.
• Collaborate with Applied Research to adapt models for production constraints.
• Mentor engineers on ML engineering and system design best practices.

Skills

ML engineering

Production ML systems

Python

SQL

Spark/PySpark

Mentoring

Communication

Education

Bachelor’s or Master’s in CS/ML

Tools

Spark

PySpark

MLOps tools

Job description

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!

Who Are We?

The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

What Will You Do?

We are looking for a Lead Machine Learning Engineer to build and scale production ML systems that power customer-facing experiences.

You will work across the full lifecycle—from integrating models provided by research team into production to designing scalable, reliable ML systems. You will be responsible for delivering production-ready ML solutions, working closely with researchers and platform teams to ensure reliability, scalability, and operational excellence.

As a senior member, you will mentor engineers, drive technical decisions, and lead complex projects to completion.

Your Work Will Include

• Converting research models into production-ready systems integrated with pipelines and services
• Designing scalable ML systems for batch use cases
• Building data pipelines for ML workflows, that includes basic use of data processing tools like Spark
• Defining model monitoring and reliability standards
• Establishing model lifecycle practices (versioning, rollback, retraining)

If you love a good challenge, and are good at handling complexity - we’d love to hear from you!

Benefits

• A competitive salary - including stock grants and a yearly bonus
• A healthy work culture that promotes business impact and at the same time highly values your personal well-being
• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

Job Responsibilities

• Productionize ML models and integrate them into pipelines.
• Design and maintain ML pipelines for feature generation and inference.
• Work with large-scale datasets and distributed processing frameworks (e.g., Spark).
• Define model health metrics, monitoring, and alerting strategies.
• Architect ML systems that meet latency, throughput, and scalability requirements.
• Drive code quality, reusability, and engineering best practices.
• Optimize systems for cost, performance, and efficiency.
• Collaborate with Applied Research to adapt models for production constraints.
• Mentor engineers on ML engineering and system design best practices.

Minimum Qualifications

• Strong experience in machine learning engineering and production ML systems.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
• 9+ years of experience building ML or data-driven systems.
• Strong foundations in ML system design.
• Strong programming experience in Python.
• Working knowledge of SQL and basic Spark / PySpark for data processing.
• Experience with model serving, MLOps, and monitoring systems.
• Proven ability to lead projects and mentor team members.
• Strong communication and collaboration skills.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [e-mail]. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.