Applied Researcher
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. The Risk Data Science team is a horizontal service organization that builds and operates machine learning solutions to protect eBay and its users. We partner with Trust, Compliance, Payments, Policy, and Product teams to design and deploy models that detect and prevent fraud and abuse, ensure policy and regulatory compliance, and safeguard marketplace integrity at global scale. We’re seeking a Level 24 Modeler (Individual Contributor) who will play a supporting role, collaborating closely with senior/staff modelers to design, build, and operate production ML models and decisioning components across core risk domains. You’ll contribute hands-on across the model lifecycle—problem framing, feature engineering, training, evaluation, deployment, monitoring, and iteration—with a strong focus on measurable business and risk impact. We’re seeking a junior level modeler, who can work closely with senior/staff modelers to design, build, and operate production ML models and decisioning components across core risk domains. You’ll contribute hands-on across the model lifecycle—problem framing, feature engineering, training, evaluation, deployment, monitoring, and iteration—with a strong focus on measurable business and risk impact.
Requirements
- Dedication to working our Hybrid Model with 3+ days per week in our Austin, Texas office.
- BS in Computer Science or related area with 2+ years of relevant work experience in Machine Learning / AI / NLP / LLM. MS or PhD preferred.
- Experience with building personalized recommender systems or other forms of personalization technology
- Python and PyTorch framework
- Hands on engineering skills to build and deploy ML models in production on prem or using cloud services
Nice To Haves
- Experience in Java/Scala is a plus
- Experience with big data pipelines (Hadoop, Spark) is a plus
- Experience with Large Language Models (LLMs), prompt engineering, and GenAI coding assistants is a plus
Responsibilities
- Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users
- Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers, working with a distributed team of applied researchers and ML engineers
- Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations
- Publish research work in Tier 1 conferences as well as write IP and tech blogs
Benefits
- a target bonus
- restricted stock units (as applicable)
- a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
