As a Machine Learning Engineer (T24) in the Product Knowledge team at eBay, you will be an integral part of our tech-driven, customer-centric approach to revolutionizing global online commerce. Our team is focused on leveraging eBay's Product Knowledge - a vast Big Data system consisting of listings, transactions, products, knowledge graphs, and more. We are a diverse team comprising experts from various fields like Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics, fostering a culture of collaboration, learning, and growth.Your role will involve tackling challenging engineering tasks to streamline complex problems, such as:- Developing pipelines to process vast amounts of data and implementing Machine Learning models- Creating services for Search and Information Retrieval with low latency on massive datasets- Designing APIs and integrating Data layers with Customer-facing applications- Conducting A/B tests in live environments to evaluate new functionalitiesIf you thrive on challenges and possess a knack for handling complexity, we invite you to be a part of our dynamic team.At eBay, you can expect:- Competitive salary, including stock grants and annual bonus- A supportive work culture that values both business impact and personal well-being- Opportunities to contribute to positive change in the world, as eBay prioritizes its employees, customers, and global communityResponsibilities:- Design, implement, and maintain significant features in data pipelines, ML processing, and service infrastructure- Optimize software performance to achieve desired throughput and latency- Collaborate with managers, peers, and Product Managers to define project scopes and features- Develop a technical strategy aligned with project goals and timelines- Lead cross-team efforts to solve business problems and ensure technical coherence- Participate in knowledge sharing across the organization, both as a learner and a teacherMinimum Qualifications:- Passion and dedication to technical excellence- B.Sc. or M.Sc. in Computer Science or equivalent professional experience- Over 2 years of experience in software design and development for backend services and data pipelines- Strong foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics- Proficiency in Java, Python/Scala, and production-grade coding- Experience in data analysis, statistics computation, and operating Big Data processing pipelines like Hadoop and Spark- Excellent verbal and written communication skills for effective collaborationJoin us at eBay and be a part of reshaping the future of ecommerce with your expertise and passion for innovation.,
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Software Engineering, Python, SQL, Probability, Statistics, AWS, Numpy,MLOps, Applied Data Science, AB Testing, TensorFlow, PyTorch, Pandas, SKLearn
Presentation,Machine Learning Engineer, Python programming, AWS services, MLOps, AIML solutions, Problemsolving
Natural Language Processing, Software Engineering, Data Science, R, Linux, AWS, Kubernetes,Big Data technologies, Databricks, Neural Networking, Jupyter Notebooks
Software Engineering, Python, SQL, Probability, Statistics, AWS, Numpy,MLOps, Applied Data Science, AB Testing, TensorFlow, PyTorch, Pandas, SKLearn
Presentation,Machine Learning Engineer, Python programming, AWS services, MLOps, AIML solutions, Problemsolving
Natural Language Processing, Software Engineering, Data Science, R, Linux, AWS, Kubernetes,Big Data technologies, Databricks, Neural Networking, Jupyter Notebooks