Side-by-Side Comparison
Open AI Roles
434
Salary Range
$79K - $427K
Top Roles
AI/ML Engineer, AI Software Engineer, AI Architect, AI Product Manager
Top Skills
RagGcpRustPythonGemini
% Remote
0.2%
Experience Mix
Entry 1%, Mid 61%, Senior 38%
Company Stage
Unknown
Burlington Stores
Open AI Roles
352
Salary Range
$24K - $105K
Top Roles
AI/ML Engineer, Data Scientist
Top Skills
RagRustPower BiPythonTableau
% Remote
0.0%
Experience Mix
Entry 26%, Mid 70%, Senior 4%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$237K
Best for Remote
Google
0.2% remote positions
Most Roles Available
Google
434 open AI positions
Quick Verdict
For compensation, Google offers significantly higher pay, with median salary ceilings roughly 500% above Burlington Stores. Both companies are actively hiring with a similar number of open AI roles (434 at Google vs 352 at Burlington Stores).
Which Should You Choose?
Choose Google if you prioritize:
- higher compensation with median salary ceilings above the competition
- broader role variety across 7 different AI job categories
- more open positions (434 active AI roles)
- working with Gemini, Gcp, Pytorch
Choose Burlington Stores if you want:
- working with Tableau, Power Bi
- its specific team culture and project focus
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Remote work flexibility also affects quality of life and total compensation when you factor in commute costs and geographic salary adjustments.
Frequently Asked Questions
Google currently shows higher median salary ceilings for AI positions. Google ranges around $79K - $427K while Burlington Stores ranges around $24K - $105K. Keep in mind that posted salary ranges reflect base compensation and often exclude equity, signing bonuses, and annual performance bonuses that can add 10-30% to total compensation. Actual offers also depend on specific role, seniority level, location, and negotiation. Check individual job listings for the most current figures.
Google offers more remote opportunities at 0.2% of their AI roles. Google is at 0.2% remote while Burlington Stores is at 0.0% remote. Remote availability can shift quickly as companies adjust return-to-office policies. Some roles listed as hybrid may allow mostly remote work in practice. If remote work is a priority, filter by the remote tag on individual company pages and pay attention to whether the listing specifies a geographic requirement.
Google focuses on AI/ML Engineer, AI Software Engineer roles, while Burlington Stores emphasizes AI/ML Engineer, Data Scientist. Skill requirements also differ: Google prioritizes Rag, Gcp, Rust, while Burlington Stores looks for Rag, Rust, Power Bi. These differences often reflect each company's core AI products and business model. The tech stack you work with early in your career shapes your trajectory, so consider which skill set aligns with your long-term goals.
Career growth depends on company stage, team size, and role scope. Google (Unknown) has 434 open AI roles, while Burlington Stores (Unknown) has 352. Companies with more open roles often provide faster internal mobility and broader project exposure. Look at the experience mix breakdown above to gauge whether each company is primarily hiring senior talent or building entry-level pipelines, as this signals different mentorship and advancement cultures.
Data Source: Analysis based on 786 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.
Free weekly email. Unsubscribe anytime.