• Job Description

  Req#: R0059299

  Company Overview:

  Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.

  Team Overview:

  Advertising is one of the fastest growing areas in eBay which in some ways, will define the future of eBay. As they shift budget from the duopoly of Google and Facebook, it creates a huge opportunity for eBay. Advertising is also amplifying eBay’s e-commerce by providing a tool for our sellers to move inventory and for buyers, by surfacing high quality items.

  Team Role:

  This team focuses on building data / ML services for our advertiser sellers and guides them to advertise their inventory outside eBay across multiple channels. You are going to help our sellers by guiding them to optimize their budget, cpc and listing selections for their campaigns and eventually creating campaigns automatically for advertisers. This is a relatively new area but with a very high business potential. It would allow you to work with massive amounts of data, and use a variety of data science techniques.

  Come and help us blow away the boundaries of e-commerce through technology!

  Responsibilities:

  • Work with data scientists, engineers, and multi-functional teams to produce end-to-end production-ready solutions.

  • Work on Big Data to produce actionable insights

  • Translate business problem into machine learning problem and bring it to production with scalable solutions

  • Provide technical leadership and mentoring to other team members.

  • Build quick prototypes and do preliminary explorations to decide on feasibility and direction

  Requirements:

  • 6 - 10+ years of experience ( MS or PhD in Computer Science or equivalent experience ) designing & developing highly scalable distributed platforms and machine learning applications/platforms.

  • Strong Proficiency in a programming language such as Java and/or Scala with strong software engineering foundation with deep architectural understanding of system design in data structures, algorithms, and a strong understanding of multithreading, synchronization, and concurrent programming.

  • Hands-on experience of REST, JSON, machine learning deployment, monitoring, inference optimization, troubleshooting and related toolset with understanding of mainstream machine learning algorithm is a big plus

  • Experience with large data sets and related Big Data technologies, e.g., Hadoop/Spark/Hive and streaming technologies i.e. Kafka

  • Familiarity with Agile/Scrum and agility to adapt to emerging challenges and execute under ambiguity

  • Strong analytical skills and data-driven decision-making with effective communication skills and ability to independently work on projects

  The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.

  $135,200 - $205,700

  Base 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.

  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. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement.

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

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• About the company

  9260 eBay Inc. is an American multinational e-commerce corporation based in San Jose, California, that facilitates consumer-to-consumer and business-to-consumer sales through its website.

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