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Google DeepMind

artificial intelligence Googleplex 10.0K employees website ↗

Google DeepMind has 13 indexed roles weighted toward engineering across United States. Posting volume is steady (-60% week-over-week).

13
Indexed roles
+0%
14d momentum
0 recent vs 0 prior
#3
Industry rank
0.9% of 1.4K jobs · 4 peers
0.29
AI exposure (occupation)
Skill-weighted: 0.14
Hiring Trajectory
Posting volume over the last 2 weeks
Bucketed weekly from enriched_at timestamps. Trend classification compares the last 4 weeks against the 4 prior weeks. Median time from first sighting to closure: 33 days (industry: 46).
1 3 4 6 2026-04-13: 5 postings 2026-05-25: 2 postings 2026-04-132026-05-25
stable Week-over-week: -60% Long-open postings (>90d): 13
Functional Mix
Where the hiring is concentrated
Categories collapsed into 12 canonical buckets so cross-company comparisons stay coherent. Same map used on /live and /job-statistics.
Engineering
9
Design
4
Geographic Distribution
Where postings live, and where they're moving
Free-text jobs.location resolved into 12 region buckets. Emerging hubs flagged when last-30-days postings >50% above prior 30 days.
United States
13 (100%)
Seniority Distribution
Who exactly is being hired
Levels in postings, plus a separate read on executive-tier roles which are the leading indicator of strategic shifts.
Staff / Principal
3
Senior
9
Mid-level
1
Disproportionate Skills
What this company is over-indexed on vs industry peers
Location Quotient = (this company's % of postings with skill X) ÷ (peer industry's % of the same skill). Values above 1.0 mean over-indexed. Peer baseline excludes this company itself, so a dominant employer doesn't collapse to ~1.0. Skills with fewer than 3 occurrences here are excluded.
Skill Postings This co. Peer avg LQ Required
Figma 3 23.1% 0.6% 36.54× 67%
Generative AI 3 23.1% 0.8% 27.40× 33%
Data Analysis 3 23.1% 6% 3.82× 100%
Machine Learning 4 30.8% 9.3% 3.32× 100%
Python 5 38.5% 25.5% 1.51× 100%
Salary Positioning
Pay vs the industry baseline (USD midpoint)
Midpoint of salary_min/salary_max converted to USD via simple 2024-snapshot FX. Values outside $10k–$1M filtered as parser noise.
⚠ Low disclosure — only 15% of Google DeepMind postings include a salary range (industry: 67%). The chart represents a small sample; treat ranges as indicative.
$150K $200K $250K $300K $350K All regions Industry: $327,500 Company: $171,500 (n=2) United States Company: $171,500 (n=2)
Google DeepMind Industry baseline Google DeepMind sits at the 4th percentile of industry pay
Market Position
Direct hiring competitors
Peers are companies in the same industry, ranked by how much their job categories overlap with this one (Jaccard score on the top 5 normalised categories). Each peer's hiring momentum is shown from the same 14-day windows.
Company Postings Similarity Momentum
Anthropic 1.2K 17% accelerating
xAI 208 17% stable
Strategic Themes
What this hiring is revealing

Coming soon.

Weekly LLM-synthesised brief — emerging capabilities, decaying capabilities, geographic shifts, seniority signals — drawn from the company's own posting tag distribution. Will populate once Phase 4 of the company-intelligence pipeline (OpenRouter long-context model) ships.

Latest
Most recent indexed postings
Research Engineer, Materials Science
Mountain View, California, US senior onsite Engineering
Research Engineer, Materials Science
Mountain View, California, US mid onsite Engineering
Staff AI Product Designer, Growth & Discovery, GeminiApp
Mountain View, California, US; San Francisco, California, US staff onsite Design
Distinguished Designer, Gemini App Systems
Mountain View, California, US senior onsite Design
Staff AI Product Designer, Gemini Assistant, GeminiApp
Mountain View, California, US; New York City, New York, US; San Francisco, California, US; Seattle, Washington, US staff hybrid Design
Research Engineer, Information Quality
Mountain View, California, US senior onsite Engineering
Research Engineer, Human Understanding
Los Angeles, California, US; Mountain View, California, US senior onsite Engineering
Research Scientist, Gemini Safety
Mountain View, California, US senior onsite Engineering
Methodology & Sources
How this is computed

Last enriched: 2026-03-20.

Company-data sources: wikidata, github, news

Hiring aggregates run live against D1; cached at the edge for up to 24 hours. AI-exposure scores derive from O*NET 30.2 occupation taxonomy crossed with the Anthropic Economic Index 2026-03-24 release.

Caveats: salary parser uses 2024 FX snapshot rates; long-tail location strings may bucket as "Unknown"; Location Quotient excludes companies with fewer than 5 indexed roles to keep ratios stable. Salary disclosure under 20% triggers a warning on the salary chart.

Machine-readable equivalents: /companies/google-deepmind.json · /companies/google-deepmind.md · api.yubhub.co/stats/company/google-deepmind