Side-by-Side Comparison
Open AI Roles
189
Salary Range
$104K - $364K
Top Roles
AI/ML Engineer, AI Software Engineer, AI Product Manager, Research Engineer
Top Skills
GcpPythonGeminiRagJavascript
% Remote
0.0%
Experience Mix
Entry 1%, Mid 54%, Senior 45%
Company Stage
Unknown
Capital One
Open AI Roles
112
Salary Range
Not disclosed
Top Roles
AI/ML Engineer, Data Scientist, AI Product Manager, AI Software Engineer
Top Skills
AwsPythonAzureGcpReveal
% Remote
10.7%
Experience Mix
Entry 10%, Mid 60%, Senior 30%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$252K
Best for Remote
Capital One
10.7% remote positions
Most Roles Available
Google
189 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (189 at Google vs 112 at Capital One).
Which Should You Choose?
Choose Google if you prioritize:
- broader role variety across 9 different AI job categories
- more open positions (189 active AI roles)
- working with Jax, Autogen, Vertex Ai
Choose Capital One if you want:
- more remote flexibility (10.7% remote positions)
- working with Reveal, Kubernetes, Docker
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 $104K - $364K while Capital One ranges around Not disclosed. 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.
Capital One offers more remote opportunities at 10.7% of their AI roles. Google is at 0.0% remote while Capital One is at 10.7% 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 Capital One emphasizes AI/ML Engineer, Data Scientist. Skill requirements also differ: Google prioritizes Gcp, Python, Gemini, while Capital One looks for Aws, Python, Azure. 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 189 open AI roles, while Capital One (Unknown) has 112. 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 301 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of October 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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