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Job Type
Hybrid -
Experience
6-8 year -
Salary
$149,200 - $234,850 / Year -
Location
San Jose, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Degree in Artificial intelligence- AI
Key Skills
Apache Hadoop, Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Scala Programming, Spark Core, SQL, Statistical modeling
Job Description
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 creating an ambitious and inclusive environment, join eBay - a company you can be proud to be a part of.
Team Overview:
Advertising is one of the fastest growing areas in eBay which in some ways, will define the future of eBay. Digital advertising as an industry is growing rapidly, and the landscape is shifting as ecommerce advertisers are finding better value with ecommerce companies like 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 ecommerce 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, to guide them ways to optimize for their ad budget and goals, for example by recommending the right inventory, keywords, budget, bid and audiences to apply for their campaigns, and eventually create campaigns automatically for advertisers. This is a relatively new area but with a very high business potential and need. 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 AI!
Responsibilities:
- Work with Data Scientists, Engineers, and multi-functional teams to produce end-to-end production-ready solutions
- Analyze Big Data to produce actionable insights
- Develop solutions for large scale problems in eBay
- Provide technical leadership and mentoring to other team members
- Translate business problems into Machine Learning problems
- Build quick prototypes and do preliminary explorations to decide on feasibility and direction
Requirements:
- MS or PhD in Computer Science or equivalent experience
- 5-8 years (with PhD) or 8-12 years (with MS) of related work experience
- Experience in NLP, ML and statistical modeling
- Experience with large data sets and related technologies, e.g., Hadoop and Spark. Knowledge of SQL is preferred.
- Excellent understanding of machine learning algorithms. Strong programming skills in Python, Scala or Java
- Experience in solving problems using data science, building practical solutions, and deploying models into production for evaluation
The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range below.
$149,200 - $234,850
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.
Company Info.
eBayeBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world.
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IndustryRetail
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No. of Employees13,300
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Location2025 Hamilton Avenue, San Jose, CA 95125, USA
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Website
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