Senior Member of Technical Staff

eBay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$217,600–$290,500 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $254k
$133k most similar roles pay here $307k

This role pays more than 86% of similar roles. Most pay $167,375–$225,800 — 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 28 open roles on FindRole.

Listed pay typically runs $188,800–$227,500 across 27 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · Senior Member of Technical Staff

Senior Member of Technical Staff As a Senior Member of Technical Staff on the Applied Research team, you will function as an individual contributor focused on updating the search stack to develop conversational search and natural language query features. You will build, prototype, and productionize solutions for query understanding, retrieval, ranking, and response generation while developing methods for intent understanding, query rewriting, semantic retrieval, result grounding, and multi-turn refinement. The role requires expertise in machine learning, NLP, information retrieval, and large language model applications to improve how users convey shopping intent through natural language. You will utilize skills in coding, system development, and evaluation frameworks to translate research into scalable systems. This position addresses the technical challenge of interpreting complex user signals to provide relevant results within a modern search experience for an ecommerce platform.

What you'll do

  • Build and productionize solutions for conversational search and natural language query understanding.
  • Update the search stack across query understanding, retrieval, ranking, and response generation layers.
  • Develop methods for intent understanding, query rewriting, semantic retrieval, and multi-turn refinement.
  • Integrate data-informed machine learning approaches into production systems with high reliability and low latency.
  • Build offline and online evaluation frameworks to measure conversational quality and retrieval efficiency.
  • Provide technical leadership on model selection, system building, and experimentation measurement.
  • Translate research ideas into functional products through rapid prototyping and iterative deployment.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or a related technical area, or equivalent hands-on experience.
  • 8+ years of experience in applied research, machine learning, search, NLP, or related engineering roles.
  • Strong hands-on experience building and shipping production-quality ML, NLP, or search systems.
  • Deep expertise in dialogue-based search, information retrieval, NLP, LLM applications, ranking, or relevance optimization.
  • Strong coding and system development skills to drive complex technical work from concept through production.
  • Demonstrated ability to evaluate technical tradeoffs across quality, latency, scalability, and maintainability.
  • Advanced degree such as an MS or PhD in Computer Science, Machine Learning, NLP, or Information Retrieval (preferred).
  • Experience modernizing search systems in ecommerce or working on LLM-powered product experiences (preferred).

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