Applied Researcher 3

Location:

San Francisco, California, United States
San Jose, California, United States
Requisition Number:
R0049201

Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?

The Search Monetization team is the biggest contributor to eBay’s advertising program. We innovate at the heart of ecommerce search and advertising, with the ambitious goal of redefining ecommerce advertising. We craft an optimized experience for both buyers and sellers on eBay. We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.

We are looking for stellar applied researchers to join us and build the next generation of online advertising products in eBay search. If you enjoy the scale and technical complexity of advertising and want to be at the frontier of applied research in advertising in e-commerce, join now. Help us redefine advertising at eBay.

Job Responsibilities

  • Seek scientific solutions to multiple complex and ambiguous problems by crafting a technical vision and driving consensus across teams
  • Think through complex research problems, simplify where necessary, invent when needed, to drive a principled vision from thought to reality
  • Work through others as a technical leader to drive vision, define and standardize methodologies, establish processes, and operationalize machine learning solutions across teams and projects
  • Present key technical and novel research work in public forums and conferences
  • Mentor junior team members

Basic Qualifications

  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
  • 5-8 years (with PhD) or 8-12 years (with MS) of industrial experience in a related field
  • Strong Industrial experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related
  • Experience in big data processing, e.g. Hadoop, SQL, Spark
  • Experience with Python or R, and Java or Scala or C/C++
  • 2 or more related publications in quality conferences or journals

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/

#LI-TN1

#LI-Hybrid

#LI-Onsite

eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible. Jobs posted with location as "Remote - United States (Excludes CO, HI, NM)" excludes Colorado, Hawaii and New Mexico.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

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View our privacy policy and accessibility info

Applied Researcher 3

San Francisco, California, United States
San Jose, California, United States
Requisition Number R0049201 Subsidiary eBay

Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?

The Search Monetization team is the biggest contributor to eBay’s advertising program. We innovate at the heart of ecommerce search and advertising, with the ambitious goal of redefining ecommerce advertising. We craft an optimized experience for both buyers and sellers on eBay. We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.

We are looking for stellar applied researchers to join us and build the next generation of online advertising products in eBay search. If you enjoy the scale and technical complexity of advertising and want to be at the frontier of applied research in advertising in e-commerce, join now. Help us redefine advertising at eBay.

Job Responsibilities

  • Seek scientific solutions to multiple complex and ambiguous problems by crafting a technical vision and driving consensus across teams
  • Think through complex research problems, simplify where necessary, invent when needed, to drive a principled vision from thought to reality
  • Work through others as a technical leader to drive vision, define and standardize methodologies, establish processes, and operationalize machine learning solutions across teams and projects
  • Present key technical and novel research work in public forums and conferences
  • Mentor junior team members

Basic Qualifications

  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
  • 5-8 years (with PhD) or 8-12 years (with MS) of industrial experience in a related field
  • Strong Industrial experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related
  • Experience in big data processing, e.g. Hadoop, SQL, Spark
  • Experience with Python or R, and Java or Scala or C/C++
  • 2 or more related publications in quality conferences or journals

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/

#LI-TN1

#LI-Hybrid

#LI-Onsite

eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible. Jobs posted with location as "Remote - United States (Excludes CO, HI, NM)" excludes Colorado, Hawaii and New Mexico.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies

View our privacy policy and accessibility info