Software Engineer - AI/ML

Posted:
11/11/2024, 7:08:52 PM

Location(s):
Leinster, Ireland ⋅ Dublin, Leinster, Ireland

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

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 Role & Team:
 

Data and Metrics is at the forefront of innovation, integrating ground breaking technologies into our products and services. We are dedicated to using the power of machine learning to solve real-world problems by gathering relevant signals, improve user experiences, and drive business outcomes. Join us in shaping the future with your expertise and passion for technology.

We are seeking a motivated Software Engineer with a strong background in software development and hands-on experience in machine learning. The ideal candidate should have a platform-centric approach and a proven track record in applying machine learning techniques to develop scalable software solutions. You will be instrumental in crafting innovative applications that enable us to build golden datasets in a minimal time to market in turn helping us build complex knowledge graphs. Join our collaborative team that thrives on creativity and resourcefulness to tackle sophisticated challenges.

What you will accomplish:

  • Build large scale applications, low latency API’s, data pipelines, and a high focus on building foundational and golden data aspects for eBay.

  • Build highly configurable and metadata driven pipelines for seamless ingestion of attributes or derived aggregates related to an entity..

  • Building machine learning models to generate insights used across eBay.

  • Leverage modern Gen AI toolset to develop tools and products aimed to improve the experience of customers.

  • Partnering with architects, business leaders and industry experts in devising strategy and solutions.

  • Mentoring and leading with example for the team junior members to lead them to success

     

What you will bring:

  • Bachelor’s degree and 8+ years (or) a MS in Computer Science and 6+ years of software development and relevant experience

  • 5+ years Exceptional programming skills in Java / Scala & Python, pytorch, tensorflow

  • Experience in building and consuming horizontally scalable RESTful API’s, GraphQL and distributed systems

  • 3+ years Experience with big data technologies like Spark, Flink, and Kafka

  • 4+ years of experience with SQL, NoSQL and data modeling techniques

  • Experience with AI/ML/GenAI Technology to build and run models in production is required

  • 2 years of Experience with ReactJs is required.


    #LI-AZ1

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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 [email protected]. 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.

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

 

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eBay

Website: https://www.ebay.com/

Headquarter Location: San Jose, California, United States

Employee Count: 10001+

Year Founded: 1995

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Auctions ⋅ E-Commerce ⋅ Internet ⋅ Marketplace ⋅ Retail