AI Engineer

eBay

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$85,600–$151,100 / yr
Posted
31 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $118k
$70k $228k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $139,425–$202,200 — the blue band above. At the midpoint, this role pays about $118k versus about $171k 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 50 open roles on FindRole.

Listed pay typically runs $147,095–$228,050 across 50 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · AI Engineer

The AI Engineer - AI & Automation will join the Finance Innovation & Transformation team to drive process modernization through data and artificial intelligence. As a hands-on individual contributor, you will design, build, and deploy production-grade machine learning models, intelligent agents, web apps, and automation workflows. You will translate complex business problems into scalable technical designs, building reusable components and robust data pipelines to improve efficiency and strengthen controls. The role requires proficiency in Python, SQL, and modern AI/ML frameworks, along with experience handling big data using Hadoop, Teradata, or Google Big Query. You will solve specific Finance use cases by developing decision-support tools and evaluating emerging AI technologies to create measurable business value within a regulated, controls-focused enterprise environment.

What does a AI Engineer earn?

Median $211200 from 126 postings across 36 companies.

See salary data

What you'll do

  • Translate prioritized business problems into scalable technical and system designs for Finance use cases.
  • Design, build, and deploy production-grade AI, machine learning, and automation solutions using Python and SQL.
  • Develop intelligent agents, web apps, automation workflows, and decision-support tools for business processes.
  • Build and maintain robust data pipelines, model workflows, and reusable solution components.
  • Evaluate and apply emerging AI technologies and AI-assisted development tools to create business value.
  • Monitor, refine, and scale deployed solutions to improve performance and reliability.
  • Partner with cross-functional stakeholders to drive execution of AI and intelligent automation solutions.

What we're looking for

  • Proven experience building and delivering end-to-end AI, machine learning, and intelligent automation solutions from design through deployment.
  • Strong programming and technical skills in Python, SQL, and modern AI/ML frameworks.
  • Experience handling big data (Hadoop, Teradata, etc.) and agile methodologies.
  • Ability to translate business needs into scalable, maintainable software and automation solutions.
  • Strong communication and stakeholder management skills to explain technical concepts to cross-functional partners.
  • 4+ years of experience designing and delivering AI, machine learning, and intelligent automation solutions in complex enterprise environments (preferred).
  • Experience delivering production-ready solutions in complex, regulated, or controls-focused environments (preferred).
  • Google Big Query experience is a plus (preferred).

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