Side-by-Side Comparison
Amazon Web Services
Open AI Roles
89
Salary Range
$88K - $342K
Top Roles
AI/ML Engineer, AI Product Manager, Research Scientist, AI Agent Developer
Top Skills
AwsPythonBedrockSagemakerPrompt Engineering
% Remote
0.0%
Experience Mix
Mid 38%, Senior 62%
Company Stage
Unknown
Meta
Open AI Roles
32
Salary Range
$121K - $356K
Top Roles
AI/ML Engineer, Research Scientist, Research Engineer, AI Product Manager
Top Skills
PythonPytorchTensorflowTableauJavascript
% Remote
3.1%
Experience Mix
Mid 91%, Senior 9%
Company Stage
Unknown
Who Wins?
Best for Salary
Meta
Median ceiling ~$257K
Best for Remote
Meta
3.1% remote positions
Most Roles Available
Amazon Web Services
89 open AI positions
Quick Verdict
For compensation, Meta offers significantly higher pay, with median salary ceilings roughly 21% above Amazon Web Services. Amazon Web Services has many more open positions (89 vs 32), giving candidates a wider selection of roles and teams to target.
Which Should You Choose?
Choose Amazon Web Services if you prioritize:
- more open positions (89 active AI roles)
- working with Bedrock, Prompt Engineering, Sagemaker
Choose Meta if you want:
- higher compensation with median salary ceilings above the competition
- broader role variety across 7 different AI job categories
- working with Hugging Face, Gcp, Llama
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
Meta currently shows higher median salary ceilings for AI positions. Amazon Web Services ranges around $88K - $342K while Meta ranges around $121K - $356K. 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.
Meta offers more remote opportunities at 3.1% of their AI roles. Amazon Web Services is at 0.0% remote while Meta is at 3.1% 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.
Amazon Web Services focuses on AI/ML Engineer, AI Product Manager roles, while Meta emphasizes AI/ML Engineer, Research Scientist. Skill requirements also differ: Amazon Web Services prioritizes Aws, Python, Bedrock, while Meta looks for Python, Pytorch, Tensorflow. 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. Amazon Web Services (Unknown) has 89 open AI roles, while Meta (Unknown) has 32. 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 121 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of August 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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