Software Engineer 3

eBay • Austin, TX

23h • Hybrid

About The Position

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. About the team and the role: eBay, Inc. seeks Software Engineer 3 in Austin, TX What you will accomplish: Job Duties: Design and develop robust, scalable, and interactive notebooks that serve as powerful tools for data analysis, visualization, and predictive modeling. Optimize performance of notebooks to handle large datasets and complex computations with minimal latency. Connect notebooks to diverse data sources such as databases, data warehouses, APIs, and real-time data streams to fetch and manipulate data efficiently. Implement advanced data visualization techniques to create intuitive and interactive graphs, charts, and dashboards that clearly communicate findings and insights. Build and integrate machine learning models within notebooks, facilitating rapid prototyping, testing, and deployment of predictive models. Utilize tools like Git to manage versions and collaborate with other team members on notebook development projects. Stay updated with the latest developments in notebook technologies, data science, and related fields to continuously improve the functionality and efficiency of notebooks. Partial telecommuting permitted from within a commutable distance.

Requirements

• Master’s degree, or foreign equivalent, in Computer Science, Artificial Intelligence, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.
• Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Artificial Intelligence, Engineering, or a closely related field plus five years of experience in the job offered or a related occupation.
• Designing and developing scheduling systems such as Apache Airflow, contributing to high availability and scalability (2 years)
• Developing analysis notebooks including Jupiter and similar tools, supporting data exploration and model prototyping (2 years)
• Designing and building metadata management systems (similar to Open Metadata) to improve data governance and accessibility (2 years)
• Building end-to-end AI projects with a strong understanding of machine learning algorithms, including K-means clustering, Convolutional Neural Networks (CNN), and auto-encoders (1 year)
• Working with multiple programming languages and tools including Java, Python, and Shell scripting (2 years)

Responsibilities

• Design and develop robust, scalable, and interactive notebooks that serve as powerful tools for data analysis, visualization, and predictive modeling.
• Optimize performance of notebooks to handle large datasets and complex computations with minimal latency.
• Connect notebooks to diverse data sources such as databases, data warehouses, APIs, and real-time data streams to fetch and manipulate data efficiently.
• Implement advanced data visualization techniques to create intuitive and interactive graphs, charts, and dashboards that clearly communicate findings and insights.
• Build and integrate machine learning models within notebooks, facilitating rapid prototyping, testing, and deployment of predictive models.
• Utilize tools like Git to manage versions and collaborate with other team members on notebook development projects.
• Stay updated with the latest developments in notebook technologies, data science, and related fields to continuously improve the functionality and efficiency of notebooks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level