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Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About Core AI at e Bay

Core AI at e Bay is dedicated to pushing the boundaries of artificial intelligence to enhance and optimize the marketplace experience. The team focuses on designing and implementing innovative AI solutions that transform how users interact with the platform, extract information from visual and multimodal data sources, and surface insights from complex market behavior. By harnessing the power of AI, Core AI helps drive business growth and empowers teams across e Bay with the tools and intelligence to build smarter, more effective products.

About the Role

As an Sr. Applied Research technical lead at e Bay, you will be at the center of how multi-modal intelligence is applied across products.  You will not just support AI development, you will lead a team of applied researchers and machine learning engineers to help define how AI driven solutions operate, scale, and deliver value. Your work will directly influence model quality, operational efficiency, and the ways AI enhances user experience across e Bay.

Key Responsibilities Team Development and Leadership:

Build and lead a high-functioning team of applied researchers and machine learning engineers. Create a collaborative environment focused on delivery, accountability, and skill growth.

Research and Development Ownership and AI Model Lifecycle Management

Own the creation, management, and evolution of multimodal solutions used across company’s AI initiatives. Design structured processes for data acquisition, model training, and inference. Design,develop and improve large scale multimodal retrieval systems. Maintain high levels of model quality through both offline and online evaluations. Partner with internal teams and external providers to ensure that the right AI solutions and features are available for e Bay use cases.

Cross-functional Collaboration:

Work with data scientists, engineers, and product managers to align AI solutions with e Bay’s goals. Translate research and product needs into development plans and workflows.

Operational Strategy:

Create work plans that reflect team priorities and long-term objectives. Adapt quickly to changing needs while keeping the team focused on outcomes that matter.

Process, Standards and Compliance

Establish and maintain clear standards for how data is collected, and models are trained and evaluations. Work with responsible AI teams to ensure model safety.

Metrics and Reporting:

Define key performance metrics for AI models. Maintain operational excellence standards for data pipelines and models in production

Skills and Expertise Tools and Technical Fluency

Ph.D. in AI or equivalent research experience. Proficiency in Python and Py Torch for data processing, model training and inference. Expertise in Vision-Language Models and image/video retrieval. Deep understanding of key computer vision techniques for classification, image/video retrieval, 3D modeling, and Image/Video generation. Bonus: experience with frameworks for large-scale multi-GPU training (e.g. Py Torch Lightening, Nemo etc.) and for large scale inference (TensorRT, vLLM )

Team Leadership

Two years plus of experience as a tech lead or a manager of science/engineering teams. Comfortable coaching, and enabling team members to deliver high-quality work through clear direction, support, and collaboration.

Quality and Attention to Detail

Detail oriented in how you work with data, models, documentation, and process. Ability to catch inconsistencies early, ensuring standards are consistently met across workflows and deliverables.

Clarity in Communication and Problem Solving

Ability to clearly communicate with technical and non-technical teams, making complex issues easy to understand without oversimplifying. Ability to break down and clarify  ambiguous problems, identify what’s missing, and help teams move toward practical, well-defined solutions.

The base pay range for this position is expected in the range below:

$217,600 - $290,500

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.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

eBay 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 have a need that requires accommodation, please contact us at talentebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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