Side-by-Side Comparison
Open AI Roles
91
Salary Range
$103K - $349K
Top Roles
AI Software Engineer, AI/ML Engineer, AI Product Manager, Research Scientist
Top Skills
GcpRagRustVertex AiFine Tuning
% Remote
0.0%
Experience Mix
Mid 56%, Senior 44%
Company Stage
Unknown
Mind Friend PRO
Open AI Roles
49
Salary Range
Not disclosed
Top Roles
AI/ML Engineer
Top Skills
N/A
% Remote
0.0%
Experience Mix
Mid 100%
Company Stage
Unknown
Who Wins?
Best for Salary
Google
Median ceiling ~$244K
Best for Remote
Google
0.0% remote positions
Most Roles Available
Google
91 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (91 at Google vs 49 at Mind Friend PRO).
Which Should You Choose?
Choose Google if you prioritize:
- broader role variety across 7 different AI job categories
- more open positions (91 active AI roles)
- working with Vertex Ai, Rust, Javascript
Choose Mind Friend PRO if you want:
- its specific team culture and project focus
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Since both companies lean toward onsite work, consider how each company's office locations align with your living situation and career network.
Frequently Asked Questions
Google currently shows higher median salary ceilings for AI positions. Google ranges around $103K - $349K while Mind Friend PRO 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.
Google offers more remote opportunities at 0.0% of their AI roles. Google is at 0.0% remote while Mind Friend PRO 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 Software Engineer, AI/ML Engineer roles, while Mind Friend PRO emphasizes AI/ML Engineer. Skill requirements also differ: Google prioritizes Gcp, Rag, Rust, while Mind Friend PRO looks for . 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 91 open AI roles, while Mind Friend PRO (Unknown) has 49. 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 140 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.
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