Director, Applied Research

5 days ago

Bengaluru, Karnataka, India eBay Full time

What Will You Do

As Director, you will set the vision and lead the execution of a portfolio of high-impact research initiatives that blend applied science, scalable engineering, and domain expertise in commerce. You ll be responsible for not only driving core innovation but also ensuring that cutting-edge models transition into production systems with measurable business impact.

You ll collaborate deeply with partners in Product, Engineering, Data, and Business Operations to shape product strategies and customer experiences through data-driven insight and intelligent automation.

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

  • A competitive salary - including stock grants and a yearly bonus
  • A healthy work culture that promotes business impact and at the same time highly values your personal well-being
  • Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world s population, and takes every opportunity to make this clearly apparent

Job Responsibilities

Strategic Leadership Vision

  • Define and own the applied research strategy for the Product Knowledge Science group.
  • Identify emerging research areas aligned with eBay s business priorities, such as AI-driven taxonomy evolution, multimodal understanding (image + text), and dynamic knowledge graph enrichment.
  • Partner with Product and Engineering leadership to set research roadmaps and deliver measurable impact.

Team Building Talent Development

  • Lead, mentor, and grow a high-performing team of applied scientists, machine learning engineers, and research managers.
  • Foster a culture of innovation, scientific rigor, diversity, and technical excellence.

Technical Direction

  • Oversee the design, development, and deployment of ML/AI systems related to entity resolution, attribute extraction, taxonomy generation, knowledge graph construction, and product normalization.
  • Ensure best practices in experimentation, evaluation, and productionization of ML models.
  • Promote open innovation by guiding contributions to conferences, patents, and open-source initiatives.

Cross-functional Influence

  • Collaborate with partner teams to integrate applied research into end-user products.

  • Influence senior stakeholders with data-driven recommendations and thought leadership.

  • Present key technical and novel research work in public forums and conferences

Minimum Qualifications

  • M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 12+ years of relevant industry experience, including 3+ years in people and project leadership roles
  • Industrial experience with multiple of the following: ML architecture, deployment optimization, classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related
  • Experience managing cross-functional research or AI teams
  • Ability to bridge long-term technology vision with short-term delivery goals
  • Strong communicator with a track record of influencing senior leadership

Additional Qualifications

  • 5 or more related publications/patents in quality conferences or journals
  • Open source tool building/commits to popular threads.
  • Experience on Language models and KG building

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