Urgent! Senior Backend Engineer, ML Systems Job Opening In Bengaluru – Now Hiring eBay
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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.
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Our Recommendations team works on delivering item recommendations at scale and in near real time to our buyers on our website and native app platforms.
Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory.
Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
This role is for senior engineers who are passionate about bringing sophisticated machine learning and Generative AI models from prototype to production, ensuring they are robust, scalable, and performant.
As a Senior ML Engineer, you will be the driving force behind building, deploying, and scaling our cutting-edge recommendation-as-a-service platform.
You will be responsible for the entire ML lifecycle in a production environment.
You will engineer the data pipelines that feed our models, build the infrastructure to train and serve them, and develop the APIs that deliver personalized experiences to millions of users.
You will work at the intersection of machine learning and software engineering, solving complex challenges in system design, MLOps, and the operationalization of the latest Generative AI technologies.
This Is An Opportunity To
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.
Mentors other team members through code reviews, technical guidance, architecture design, and pair programming.
Qualifications
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, including proficiency with containerization (Docker, Kubernetes).
Experience with using cloud services, big data pipelines and databases, e.g. AWS, GCP, Azure
Proven ability to design and build scalable, distributed systems and expose their functionality through well-designed RESTful or gRPC APIs
A masterful understanding of the challenges and requirements of running machine learning in a live, 24/7 production environment, including monitoring, alerting, and incident response
Benefits are an essential part of your total compensation for the work you do every day.
Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs.
Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
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, and disability, or other legally protected status.
If you have a need that requires accommodation, please contact us at We will make every effort to respond to your request for accommodation as soon as possible.
View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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Visit our for more information.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
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, and disability, or other legally protected status.
If you have a need that requires accommodation, please contact us at .
We will make every effort to respond to your request for accommodation as soon as possible.
View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience.
By continuing to browse the site, you agree to our use of cookies.
Visit our for more information.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
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, and disability, or other legally protected status.
If you have a need that requires accommodation, please contact us at .
We will make every effort to respond to your request for accommodation as soon as possible.
View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience.
By continuing to browse the site, you agree to our use of cookies.
Visit our for more information.
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Unlock Your Senior Backend Potential: Insight & Career Growth Guide
Real-time Senior Backend Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Backend in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 422021 jobs in India and 29491 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Senior Backend roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! eBay is currently hiring and seeking a Senior Backend Engineer, ML Systems to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Senior Backend Engineer, ML Systems Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Backend Engineer, ML Systems typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Backend Engineer, ML Systems interview at eBay, research the company, understand the job requirements, and practice common interview questions.
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