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Cross-Company Leveling 2026

AI Lab Levels Explained: OpenAI, Google, Anthropic, Meta, Microsoft

The translation table for engineers planning a lateral move. OpenAI L4 maps to Google L5 maps to Anthropic Senior maps to Meta E6. Total comp at each tier, plus what each company actually expects from the level.

AI lab levels translation map 2026

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Mid-Level (L5/E6) $450K Median across labs
Senior (L6/E7) $850K Lab median total comp
Staff+ (L7/E8) $1.5M+ Top of band

Levels.fyi data, cross-referenced with recruiter intake and public filings through Q2 2026.

Why Cross-Company Leveling Matters

Every AI lab uses its own level naming. Google uses L3 through L8. OpenAI uses L3 through L7. Meta uses E3 through E9. Anthropic uses titled levels (Engineer, Senior, Staff, Principal). Microsoft uses numeric levels in the 59 to 69 range. When you change companies, the question is not which company pays more in absolute terms but how the level you are offered maps to your current level.

A mid-level engineer at Anthropic asked to interview at Google might be offered L5 or L6. The same engineer at Meta might be offered E6 or E7. These differences add up to $200K to $500K in total comp depending on the call. Recruiters at the labs do this calculation internally, but candidates often have to do it themselves.

The Cross-Lab Leveling Translation Table

This is the working translation most senior recruiters use. It is approximate. Specific cases (research scientist vs research engineer, IC vs management) shift the mapping by half a level in either direction.

Career Stage OpenAI Google / DeepMind Anthropic Meta Microsoft
Junior L3 L3 Engineer E3 / E4 59 / 60
Mid-level L4 L4 / L5 Engineer / Senior E5 / E6 61 / 62 / 63
Senior L5 L5 / L6 Senior E6 64 / 65
Staff L6 L6 / L7 Staff E7 66 / 67
Principal L7 L7 / L8 Principal E7 / E8 68 / 69
Distinguished L7+ L8 / L9 Principal+ E9 69+

Total Comp at Each Tier

Same translation, with total comp numbers attached. These are 2026 figures for AI engineering roles specifically, which run higher than general SWE bands at the same level.

Level OpenAI Google / DeepMind Anthropic Meta SI Labs Microsoft AI
Junior $250K–$350K $220K–$320K $280K–$380K $280K–$400K $200K–$280K
Mid-level $400K–$600K $350K–$550K $500K–$750K $500K–$800K $320K–$500K
Senior $700K–$1.2M $600K–$1M $900K–$1.4M $800K–$1.5M $500K–$850K
Staff $1M–$2M $850K–$1.5M $1.2M–$2M $1M–$1.5M $700K–$1.2M
Principal $1.5M–$3M+ $1.2M–$2M+ $1.5M–$3M+ $1.5M–$5M+ $1M–$1.8M

OpenAI: L3 to L7

OpenAI uses five levels for IC engineers. L3 is junior, L4 is mid-level, L5 is Senior, L6 is Staff, L7 is Principal. The level system maps roughly to Google’s, but the bands are compressed: OpenAI L5 covers what Google calls L5 and the bottom of L6.

L4 (mid-level) total comp at OpenAI runs $400K to $600K in 2026, with base around $260K to $320K and PPU grants adding $150K to $300K per year at the valuation set by subsequent 2025 funding rounds. The L5 (Senior) tier is where OpenAI’s comp diverges from competitors: base salaries reach $370K, with PPU grants frequently worth $400K to $700K per year. L5 total comp lands at $700K to $1.2M. L6 (Staff) reaches $1M to $2M, and L7 (Principal) regularly exceeds $2M, with several reported packages above $3M for retention.

Google and DeepMind: L3 to L8

Google uses L3 through L9, but L9 is reserved for Fellows and is functionally unreachable through standard promotion. Most IC engineers operate at L3 (junior) through L7 (Staff). L8 (Senior Staff) and above is roughly 0.5% of the engineering org.

The L7 question is one of the most googled queries in this entire space. L7 at Google is a Staff Engineer role with cross-org technical leadership. Total comp at L7 sits at $850K to $1.5M, with significant variance based on team and stock vesting schedule. L7 AI engineers at DeepMind sit at the high end of this band, with several reported packages above $1.2M. L8 (Senior Staff) total comp reaches $1.5M to $2M+ for AI roles, with the top of band closer to $3M when retention refreshers stack.

Is L7 senior at Google? Yes. L7 is Staff Engineer level, two levels above Senior (L5) and one level above Staff (L6). L7 is where engineers typically transition from individual contribution to broader technical leadership. Few engineers reach L7 before 10 to 12 years of experience.

Anthropic: Engineer, Senior, Staff, Principal

Anthropic uses named levels rather than numeric ones. Engineer (junior to mid), Senior, Staff, Principal. The compression is intentional: Anthropic does not want fine-grained leveling to drive comp expectations.

Anthropic has the highest base salaries in the industry. Senior engineers earn $400K to $450K base, Staff engineers earn $500K to $600K base, and Principal engineers earn $600K+ base before equity. With private RSU grants on top, Senior total comp reaches $900K to $1.4M, Staff hits $1.2M to $2M, and Principal exceeds $1.5M.

The trade-off is liquidity. Anthropic has not run an employee tender offer at the same scale as OpenAI. Equity is on paper until a future liquidity event. Senior engineers at Anthropic should model the equity as carrying material risk relative to the public-stock options at Google or Microsoft.

Meta: E3 to E9

Meta uses E3 through E9 for IC engineers. E3 is entry-level, E4 is mid, E5 is Senior, E6 is Staff, E7 is Senior Staff, E8 is Principal, E9 is Distinguished. Meta SI Labs has its own internal level structure that maps closely to standard Meta levels but with comp premiums of 30% to 60% at the senior IC level.

What does an L7 make at Meta? Meta uses E levels, not L levels. The equivalent of L7 at Google is E7 at Meta (Senior Staff). E7 total comp at standard Meta runs $700K to $1.2M. At Meta SI Labs, the same E7 level lands in a reported $1M to $1.5M band. The Wang acquihire and similar nine-figure packages sit at the E8 to E9 level with custom retention structures.

What is level 7 at Meta? Same answer: E7, which is Senior Staff. The naming difference from Google causes regular confusion. When people say “Meta L7” they almost always mean E7.

Microsoft: 59 to 69+

Microsoft uses numeric levels in the 59 to 69 range for most engineering roles. 59 is entry-level, 60 to 63 is mid, 64 to 65 is Senior, 66 to 67 is Principal, 68 to 69 is Partner, and 69+ is Technical Fellow.

What is level 69 at Microsoft? Level 69 is Partner Engineer. Total comp at 69 sits at $1M to $1.8M for AI roles, with the top of band reaching $2M+ when sign-on and retention stack. Few engineers reach 69 before 15+ years of experience.

What does a level 68 make at Microsoft? Level 68 is also Partner-tier. Total comp at 68 for AI engineers runs $850K to $1.4M. The 67 to 69 band is where Microsoft AI has been most aggressive on hire-on premiums and multi-year retention packages, particularly for hires from OpenAI and Google.

How much does a level 66 make at Microsoft? Level 66 is Principal Engineer. AI roles at 66 run $700K to $1.1M total comp.

Amazon Levels for AGI Org

Amazon AGI uses standard Amazon SDE levels: L4 (entry), L5 (mid), L6 (Senior), L7 (Principal), L8 (Senior Principal). The AGI org pays premiums of 25% to 50% over standard Amazon engineering bands.

What is an L7 salary at Amazon? L7 is Principal SDE. In the standard org, L7 total comp runs $500K to $800K. In Amazon AGI, L7 reaches $700K to $1.1M, with front-loaded RSU grants making the first two years particularly heavy. What does an L7 at Amazon do? Principal level: cross-org technical leadership, architecture decisions across product lines, mentoring Staff and Senior engineers. Amazon L7 is roughly equivalent to Google L7 in scope but with stronger emphasis on customer impact.

For more detail, see Amazon AGI salary breakdown.

Common Misconceptions

Three patterns trip up engineers planning a move.

Level inflation between labs is real but uneven. A Google L5 hired into OpenAI as L5 is not getting downleveled even though the OpenAI L5 band looks tighter. OpenAI compresses Senior into a single level rather than splitting it across L5 and L6 like Google does. The same engineer joining Anthropic as Senior is similarly not being downleveled.

Research scientist vs research engineer matters. At DeepMind, OpenAI, and Anthropic, research scientists at the same level as research engineers often earn 10% to 20% more in base, with similar equity. The premium exists because the research scientist pipeline is harder to recruit for. Engineers crossing from RE to RS at the same lab regularly see comp jump.

Senior at a frontier lab is not always Senior at big tech. Anthropic Senior maps to Google L5 to L6 for scope, but to Google L6 for comp. The compression is structural: Anthropic pays Senior bands that overlap with Google L6 total comp because the equity component is larger.

How to Use This Map in Negotiation

When you receive an offer, ask the recruiter what level you have been slotted into and how it maps to your current level. Most recruiters will share the mapping for adjacent companies. If you are coming from Google L5 and OpenAI offers you L5, ask why not L5/L6 boundary. If the answer is a scope discussion, that is fair. If the answer is a band-management discussion, that is negotiation room.

The AI salary negotiation playbook covers the counter-offer math in detail. For the full company-by-company comp ranking, see the AI company salaries 2026 guide.

Frequently Asked Questions

What is an L7 salary at Google?
L7 at Google (Staff Engineer) total comp ranges from $850K to $1.5M in 2026 for AI engineering roles. Base salary sits at $300K-$400K, with GOOGL RSU grants adding $400K-$900K per year at current vesting schedules. L7 at DeepMind specifically runs $900K-$1.2M at the median. Few engineers reach L7 before 10-12 years of experience.
Is L7 at Google high?
Yes. L7 is Staff Engineer, two levels above Senior (L5) and one level above Staff (L6). It is the level where IC engineers transition from individual contribution to cross-team technical leadership. L7 is roughly the 90th percentile of Google engineers by tenure and impact.
Is L7 senior at Google?
L7 is more senior than 'Senior.' Google's Senior level is L5. L7 is Staff Engineer. So while L7 is a senior IC role in colloquial terms, it is two levels above the formal 'Senior' designation. Engineers commonly conflate this when comparing across companies.
What does an L7 make at Meta?
Meta uses E levels, not L levels. The equivalent of Google L7 at Meta is E7 (Senior Staff). E7 total comp at standard Meta runs $700K-$1.2M. At Meta Superintelligence Labs, E7 lands in a reported $1M-$1.5M band due to the SI Labs premium for AI roles.
What is level 7 in Meta?
Meta level 7 is E7, which is Senior Staff Engineer. E7 total comp runs $700K-$1.2M in standard Meta orgs. In Meta SI Labs (the AI research division), E7 total comp runs in a reported $1M-$1.5M band. The naming convention (E vs L) causes regular confusion when comparing to Google or OpenAI.
How much does a level 6 at Meta make?
Meta E6 (Staff Engineer) total comp runs $500K-$850K in standard Meta orgs. At Meta SI Labs, E6 runs $800K-$1.3M for AI engineering and research roles. E6 is the bar where engineers move from team-level to organization-level technical scope.
What is level 5 at Meta?
Meta E5 is Senior Engineer. E5 total comp runs $350K-$550K in standard Meta orgs. At Meta SI Labs, E5 starts at $500K-$800K. E5 is the typical entry point for experienced engineers joining Meta from other big tech companies.
What is level 69 at Microsoft?
Microsoft level 69 is Partner Engineer. Total comp at 69 for AI engineering roles runs $1M-$1.8M, with the top of band reaching $2M+ when sign-on and retention bonuses stack. Level 69 is the highest IC tier below Technical Fellow and is roughly 0.5% of the Microsoft engineering org.
What does a level 68 make at Microsoft?
Level 68 is Partner-tier (one below 69). Total comp at 68 for Microsoft AI engineers runs $850K-$1.4M. Microsoft has been most aggressive on hire-on premiums at levels 67-69, particularly for engineers hired from OpenAI, Google DeepMind, and Anthropic.
How much does a level 66 make at Microsoft?
Microsoft level 66 is Principal Engineer. AI roles at level 66 run $700K-$1.1M total comp in 2026. The Principal band (66-67) is where Microsoft's AI premium starts compressing the gap with frontier lab Senior/Staff comp.
What is level 59 at Microsoft?
Level 59 is entry-level SDE at Microsoft. Total comp at 59 runs $150K-$200K for general engineering roles. AI-specific roles at level 59 are uncommon since most AI hiring happens at 62 (mid-level) and above, where compensation diverges from standard Microsoft bands.
How much does OpenAI Level 4 pay?
OpenAI L4 (mid-level) total comp runs $400K-$600K in 2026. Base salary is $260K-$320K, with PPU grants adding $150K-$300K per year at the valuation set by subsequent 2025 funding rounds. L4 is the most common level for experienced engineers joining OpenAI from other AI companies.
How much does OpenAI L5 pay?
OpenAI L5 (Senior) total comp runs $700K-$1.2M. Base salary is $340K-$400K. PPU grants at current valuation add $400K-$700K per year. L5 is where OpenAI's comp diverges most sharply from competitors due to the PPU appreciation since 2023.
What is the difference between OpenAI L5 and L6?
L5 at OpenAI is Senior Engineer (5-8 years experience). L6 is Staff Engineer (8+ years with cross-team technical leadership). L5 total comp runs $700K-$1.2M. L6 total comp runs $1M-$2M. The level jump typically represents a 40-50% comp increase plus a meaningful scope expansion.
How many levels does OpenAI have?
OpenAI has 5 IC engineering levels: L3 (junior), L4 (mid), L5 (Senior), L6 (Staff), L7 (Principal). Above L7 is the Distinguished Researcher track, which is title-only rather than a formal level. OpenAI compresses Senior into L5 rather than splitting it across L5/L6 like Google does.
What is L1 L2 L3 in AI?
These are not industry-standard levels at AI labs. L1-L3 sometimes refers to autonomous vehicle automation levels (SAE J3016) or maturity-model tiers. AI labs use L3 as the entry-level IC engineering tier (OpenAI, Google), not L1. If you see L1/L2 in an AI context, it usually refers to model architecture or automation framework levels, not employee levels.
Is the L5 terminal at Google?
No. L5 (Senior Engineer) is not terminal at Google. The terminal track expectation is L6 (Staff) by year 10-12. L5 is where engineers operate with autonomy on a team but have not yet expanded to cross-team scope. Engineers who stay at L5 typically do so by choice or because they prefer deep IC over broader leadership.
Are 4 levels of AI?
The '4 levels' framing comes from Arend Hintze's 2016 categorization of AI types (reactive, limited memory, theory of mind, self-awareness) and is unrelated to employee leveling at AI labs. Compensation leveling at AI labs uses company-specific level systems described above (L3-L8 at Google, L3-L7 at OpenAI, etc.).
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Thomas Prommer
Thomas Prommer Technology Executive — CTO/CIO/CTAIO

These salary reports are built on firsthand hiring experience across 20+ years of engineering leadership (adidas, $9B platform, 500+ engineers) and a proprietary network of 200+ executive recruiters and headhunters who share placement data with us directly. As a top-1% expert on institutional investor networks, I've conducted 200+ technical due diligence consultations for PE/VC firms including Blackstone, Bain Capital, and Berenberg — work that requires current, accurate compensation benchmarks across every seniority level. Our team cross-references recruiter data with BLS statistics, job board salary disclosures, and executive compensation surveys to produce ranges you can actually negotiate with.

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Sources & References

Compensation data on this page is sourced from the following public and proprietary datasets. We cross-reference multiple sources to improve accuracy.

  1. Bureau of Labor Statistics — Occupational Employment and Wage Statistics — US federal wage data for Computer and Information Systems Managers (SOC 11-3021). May 2024 release.
  2. Kruze Consulting — Startup CEO & CTO Salary Report — Payroll-based salary data from 250+ VC-backed startups by funding stage.
  3. Riviera Partners — CXO Compensation Benchmarks — Executive search placement data for CTO, VP Engineering, and CPO roles (2023).
  4. Glassdoor — CTO Salary Data — Self-reported CTO salary data with percentile distribution.
  5. Indeed — CTO Salary Data — Job posting and self-reported CTO compensation data.
  6. Levels.fyi — Engineering Compensation — Verified compensation data for engineering and executive roles at tech companies.
  7. Compensia — Executive Compensation Survey — Executive compensation advisory and survey data for technology companies.
  8. Radford (Aon) — Global Technology Survey — Compensation benchmarking for technology companies across all levels.

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