Gemini and Tensorflow frequently appear together in AI job postings, with 113 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $208K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Gemini and Tensorflow appear together in 113 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Gemini + Tensorflow
AI/ML Engineer104 jobs
AI Software Engineer5 jobs
Data Scientist3 jobs
Prompt Engineer1 jobs
Career Impact
Professionals who combine Gemini and Tensorflow earn a median salary ceiling of
$208K, compared to $200K for Gemini alone and
$220K for Tensorflow alone. This 1% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 113 positions require both Gemini and Tensorflow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gemini and Tensorflow pay an average of $137K to $208K based on 29 postings with disclosed compensation.
Jobs requiring both Gemini and Tensorflow pay $208K on average (max), compared to $200K for Gemini alone and $220K for Tensorflow alone. That represents a 1% discount for having both skills.
The most common roles requiring both Gemini and Tensorflow are: AI/ML Engineer, AI Software Engineer, Data Scientist, Prompt Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Skill co-occurrence data is derived from 113 job postings that list both Gemini and Tensorflow
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.
