Applied Researcher
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.
What you will accomplish:
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
What you will bring:
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
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
#LI-JG1
The base pay range for this position is expected in the range below:
$98,000 - $173,600Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to 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). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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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 talent@ebay.com. 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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