Applied Researcher, eBay
Leading online marketplace
Be an early applicant
Leading online marketplace
1001+ employees
Be an early applicant
1001+ employees
Company mission
To connect people and build communities to create economic opportunity for all.
Role
Who you are
- Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science
- Experience: 5+ years of experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP
- Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark)
- Analytical Skills: Outstanding ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. SQL is a must
- Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners
What the job involves
- This team focuses on building ML/data 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 and Ads bid rate to apply for their campaigns, diagnose issue while providing solutions, and eventually create/optimize campaigns automatically for advertisers for the best performance
- This is a relatively new area but with a very high business potential and need
- It would allow you to work with extensive amounts of data, and use a variety of data science techniques
- As an Applied Researcher within our Advertising team, you will play a pivotal role in developing machine learning models and algorithms to guide advertisers optimally
- This role will also include a scope positioned around data analysis
- Your work will directly impact our guidance systems, enhancing ad performance and delivering actionable insights
- You will lead our efforts in data analysis, uncovering trends, and driving data-informed decisions that support our advertisers' success
- Machine Learning Development: Design, implement, validate and deploy machine learning models tailored to advertising applications. Focus on developing systems that provide actionable guidance to advertisers, optimizing ad performance and engagement
- Data Understanding: Analyze large volume of production data to produce business insights and identify potential opportunities for ML solutions
- Cross-functional Collaboration: Work closely with product managers, engineers, and other researchers to integrate machine learning insights into our advertising products. Ensure that our advertiser guidance systems are aligned with user needs and business goals
- Innovation and Research: Stay abreast of the latest developments in machine learning and advertising technologies. Chip in to internal and external research communities by publishing findings, attending conferences, and participating in collaborative projects
- Technical Mentoring: Guide junior researchers and data analysts. Share knowledge and standard methodologies in machine learning and data analysis to uplift the team's capabilities
Our take
Founded in 1995 as an online auction platform primarily catering to collectibles, eBay quickly emerged as a pioneer in connecting buyers and sellers in the digital realm. This early success propelled eBay to become to globally recognized leader it is today.
In the present landscape, eBay competes with industry giants like Amazon within the C2C eCommerce sector. However, eBay distinguishes itself by fostering an environment where businesses can cultivate and promote their brands on the platform, offering a tailored, community-driven experience for both sellers and buyers. By championing small businesses, eBay attracts sellers and socially conscious consumers, positioning itself in stark contrast to Amazon's corporate image.
The rising consumer interest in sustainability has presented economic opportunities for eBay, particularly as younger demographics gravitate toward purchasing pre-owned items. in response, eBay has directed its marketing efforts toward Gen Z customers and formed partnerships with cultural phenomena like Love Island, further solidifying its appeal among contemporary audiences.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Comprehensive and competitive health and wellness program designed to meet your unique needs.
- We strive to provide programs that help support both mind and body, including quality healthcare insurance, wellness programs and preventative care.
- Stock Purchase Plans
- Retirement Savings and Pension Plans
- Stock Awards
- Life Insurance and Disability Benefits
- Credit Union Memberships
- Balancing work & life - eBay believes in providing you with the opportunity to be your best self in your professional and personal life. In addition to supporting flexible workstyles including hybrid and remote, eBay offers 4 weeks of paid sabbatical time for every 5 years of service
- Giving back to our community - We provide our employees around the globe with opportunities to have a positive impact on their local communities. Through the eBay Foundation, our company matches donations to eligible nonprofits up to $10,000 per employee per year. And our employee-led volunteer groups organize local giving and volunteering activities throughout the world
Company HQ
Greylands, San Jose, CA
Leadership
Jamie Iannone
(CEO, not founder)Studied at Princeton and Stanford University. Held executive roles at Walmart, Barnes & Noble, and The Children's Place, before becoming CEO of eBay in April 2020.
Salary benchmarks
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