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Added 15 mins ago
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eBay

Applied Researcher 3 - Multimodal AI

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

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Original job description

At eBay, we're more than a global ecommerce leader - we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

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 the role and the team:

As an Applied Researcher in the Computer Vision group, you will develop the multimodal intelligence that powers how buyers find inventory. You will build high-quality listings for sellers and improve eBay’s shopping experiences across search, recommendations, content generation, live streaming, and video.

This team works at the intersection of visual computing, multimodal data integration, and large-scale machine learning systems. We build and deploy production models and agentic pipelines that understand visual, textual and other multimodal signals, improve retrieval and ranking, generate and transform content, and enable new product experiences at global scale. The work spans foundational model development, orchestration of complex inference and training systems, and close partnership with product and engineering leaders to translate research into measurable business impact.

In your role as an Applied Researcher 3, you will advance eBay’s multimodal and vision capabilities in order to support large-scale applications. You will own the build, training, fine-tuning, evaluation, and deployment of brand-new models across a range of problem spaces including search, recommendations, content generation, and video understanding.

As a Senior Researcher on the team you: help shape the technical direction, vision, and multimodal stack; influence senior stakeholders, and mentor researchers.

What you will accomplish:

Develop and deploy visual recognition and multimodal machine learning models for large-scale production applications across search, recommendations, video and live streaming.
Design and optimize end-to-end training and inference pipelines for modern AI systems, including orchestration of multiple models and services in production environments.
Advance core capabilities in classical and modern vision and multimodal problem spaces such as detection, segmentation, classification, metric and contrastive learning, and visual-language modeling.
Architect, build, and improve agentic VLM-powered solutions that combine models, tools, and business logic to deliver scalable user experiences.
Lead research and development in VLM training and fine-tuning, model distillations, reinforcement learning and other components of the modern AI stack.
Partner closely with product managers, engineers, designers, and applied scientists to translate ambiguous business opportunities into robust technical roadmaps and delivered solutions.
Communicate technical direction, trade-offs, and results clearly to cross-functional stakeholders, including director-level leaders, to drive alignment and informed decision-making.
Mentor junior and senior team members, raise the technical bar for experimentation and production excellence, and contribute to a strong research and engineering culture.

Qualifications:

Ph.D. or M.S. in Computer Science, Electrical Engineering, Machine Learning, Applied Mathematics, or a related technical field with a focus on computer vision, multimodal AI, or artificial intelligence.
5 or more years of experience building computer vision and/or multimodal systems for large-scale applications, ideally in one or more of the following areas: search, recommendations, video and live streaming.
Deep understanding of classical computer vision and multimodal learning techniques, including detection, segmentation, classification, representation learning, and contrastive learning.
Hands-on experience training, fine-tuning, evaluating, and deploying visual-language models, or other modern foundation-model-based systems, and familiarity with the broader modern AI stack used to develop, adapt, and operationalize multimodal models.
Practical experience with agentic AI workflows and VLM-powered pipelines in real-world production settings.
Strong knowledge of scalable machine learning infrastructure and system design, including distributed training, model serving, orchestration, offline and online evaluation, and production monitoring.
Proficiency in Python and modern ML/data frameworks such as PyTorch, TensorFlow, and Spark, with fluency in agentic coding and AI-assisted development workflows.
Excellent verbal and written communication skills, with a demonstrated ability to influence senior cross-functional stakeholders and collaborate effectively across research, engineering, and product organizations.

Additional Details

This job posting relates to an existing vacancy within 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, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

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More about this job

Responsibilities

Develop and deploy visual recognition and multimodal machine learning models for large-scale production applications such as search and recommendations. Lead research and development in VLM training, model distillation, and agentic pipelines while partnering with cross-functional teams to drive business impact.

Requirements

Requires a Ph.D. or M.S. in a technical field with a focus on computer vision or AI. Candidates must have 5 or more years of experience building large-scale multimodal systems and proficiency in Python and modern ML frameworks.

Skills

Computer Vision
Multimodal AI
Machine Learning
Python
PyTorch
TensorFlow
Spark
Visual-language Modeling
Agentic AI
Deep Learning
System Design
Distributed Training
Model Serving
Data Frameworks
Reinforcement Learning

Visa sponsorship

Not detected in the job text

Keywords

Computer Vision
Multimodal AI
Machine Learning
Python
PyTorch
TensorFlow
Spark
Visual-language Modeling
Agentic AI
Deep Learning
System Design
Distributed Training
Model Serving
Reinforcement Learning
Segmentation
Classification
Metric Learning
Contrastive Learning
Ecommerce
Recommendation Systems
Video Understanding
Inference Pipelines
Model Distillation
Data Science
Artificial Intelligence
Technical Leadership
Cross-functional Collaboration
Production Monitoring
Large-scale Systems
Research and Development

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