Lead CV Applied Researcher

eBay

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$217,600–$290,500 / yr
Posted
50 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $254k
$126k most similar roles pay here $308k

This role pays more than 80% of similar roles. Most pay $153,912–$240,340 — the shaded band above. At the midpoint, this role pays about $254k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About eBay

eBay is a global e-commerce company that operates an online marketplace connecting buyers and sellers for a wide range of new and used goods.

eBay currently has 29 open roles on FindRole.

Listed pay typically runs $172,000–$241,900 across 28 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · Lead CV Applied Researcher

As an Sr. Applied Research technical lead at eBay's Core AI team, you will lead a high-functioning group of applied researchers and machine learning engineers, driving the development and management of multimodal solutions that enhance user experience across the platform. Your daily responsibilities include creating structured processes for data acquisition, model training, and inference, as well as collaborating with cross-functional teams to align AI initiatives with eBay’s strategic goals. You will leverage Python, PyTorch, and other advanced frameworks to develop large-scale multimodal retrieval systems, ensuring operational efficiency and high-quality models through rigorous evaluations. This role demands expertise in vision-language models, image/video retrieval, and computer vision techniques, along with a strong background in team leadership and clear communication skills to translate complex technical issues into actionable plans.

What you'll do

  • Lead and develop a team of applied researchers and machine learning engineers.
  • Design and manage multimodal AI solutions across eBay’s initiatives.
  • Create structured processes for data acquisition, model training, and inference.
  • Define key performance metrics for AI models in production.
  • Ensure compliance with responsible AI standards and model safety practices.
  • Collaborate with cross-functional teams to align AI solutions with business goals.

What we're looking for

  • Ph.D. in AI or equivalent research experience.
  • Expertise in Vision-Language Models and image/video retrieval.
  • Proficiency in Python and PyTorch for data processing, model training, and inference.
  • Two years plus of experience as a tech lead or manager of science/engineering teams.
  • Deep understanding of key computer vision techniques including classification, 3D modeling, and generation.
  • Ability to clearly communicate complex technical issues to both technical and non-technical stakeholders.

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