Scale AI Salary (2026)

The Pre-Meta Scale AI

Before June 2025, Scale AI was a top-tier destination for senior ML engineers and applied researchers who wanted to work on data infrastructure for frontier AI. The customer list included OpenAI, Anthropic, Meta, and most defense and enterprise model labs. The company had raised through a Series F at a $14B valuation in 2024. Compensation tracked frontier labs closely. Senior MTS roles regularly landed at $400K to $600K total comp, with equity comprising 30 to 45% of the package.

The Member of Technical Staff title at Scale was patterned on OpenAI's MTS, which is the now-standard frontier-lab senior IC title. Scale's MTS staff worked on RLHF data pipelines, evaluation, alignment data, and model fine-tuning infrastructure. The role attracted candidates who wanted to work near frontier model training without necessarily working inside a model lab.

The June 2025 Meta Deal

In June 2025 Meta invested approximately $14.3B in Scale AI for a non-controlling stake of about 49%, valuing Scale at roughly $29B. In the same announcement Meta hired founder Alexandr Wang along with several senior researchers and engineers to lead Meta's new Superintelligence effort. Scale AI remained an operating company under new CEO Jason Droege, who had been the company's strategy chief. Reuters, CNBC, and Fortune covered the deal extensively in June 2025.

The compensation effect on Scale AI was significant. Senior staff who joined Meta with Wang received Meta equity packages reported in significant multi-year vesting ranges. Scale AI staff who did not move to Meta saw a partial liquidity event through proceeds distributed to shareholders and vested equity holders. The investment materially reset internal stakes. New hires at Scale post-deal joined a company with a different shape. Still a major business, with the same enterprise and government contracts, but with the senior research bench rebuilt.

Scale AI Levels and Comp Bands

Scale AI publishes engineering levels E2 through E7. The MTS title sits in parallel to the engineering ladder and is reserved for senior research and applied ML roles. Numbers below reflect 2024 through early 2026 compensation data from Levels.fyi and Glassdoor, weighted toward the post-deal hiring market.

Equity is the variable that moves most. A new MTS hire in early 2026 receives a four-year equity grant at the current 409A valuation. That valuation has moved with the Meta investment, which valued Scale at approximately $29B, and the broader frontier-AI capital environment. Engineers joining pre-2024 hold equity that has appreciated significantly. Engineers joining post-deal carry equity grants whose value depends on Scale's path to an eventual liquidity event.

MTS vs Engineer Track

The MTS title at Scale, like at OpenAI and Anthropic, is research-leaning. MTS staff work on evaluation frameworks, RLHF data design, alignment-data generation, and model fine-tuning research. The engineering ladder is product and infrastructure: the platform that runs data labeling at scale, the customer-facing APIs, the analytics tools, the internal ML infrastructure.

Pay between the two tracks is comparable at the same nominal level, with MTS slightly higher on equity allocation. The career trajectories diverge. The engineering ladder leads toward Staff and Principal engineering roles with broad technical leadership. The MTS track leads toward Senior MTS roles with research output, papers, and influence on model training methodology used by Scale's enterprise customers.

Signing Bonuses and Equity Refresh

Scale AI signing bonuses range from $30K to $100K for engineering roles and $75K to $200K for MTS roles. Senior research hires with competing offers from OpenAI or Anthropic in hand have seen signing bonuses above $200K. The bonus structure is competitive with frontier labs at the senior end.

Annual equity refresh at Scale is roughly 25 to 40% of the initial grant, similar to most late-stage private AI companies. The refresh is the lever that holds tenured staff. An MTS hired in 2022 with a $300K initial equity grant has received subsequent refreshers and now holds a total equity position whose mark-to-market value depends on Scale's 409A trajectory, which jumped sharply with the June 2025 Meta deal.

Post-Deal Hiring Market

The post-deal market for Scale AI engineering has stabilized but at a different pitch than pre-2025. The pitch to new hires is no longer "frontier-adjacent research alongside Alexandr Wang." It is "enterprise and government AI infrastructure at scale, with significant customer revenue and a defined product line." That repositioning has been deliberate from CEO Jason Droege's leadership team.

For candidates the question is whether the equity has more or less upside than peer alternatives. Perplexity, Databricks, and the foundation model labs all offer different combinations of valuation, growth path, and risk. Scale AI sits as a mature, revenue-positive, late-stage private company with a recently reset cap table.

What This Means for Hiring Leaders

For CAIOs recruiting out of Scale AI, the talent pool now is different from the pre-deal pool. The strongest research staff went to Meta. The remaining staff are heavy on infrastructure, data engineering, and applied ML. That is excellent talent for enterprise AI work but may not be the right pool for frontier research positions. Calibrate accordingly.

For candidates at Scale AI considering the next move, the equity question is the central question. If the company reaches a liquidity event within 3 to 5 years at a higher valuation, the math works. If not, the cash-equivalent value of staying is lower than competing offers at Nvidia or Netflix, both of which pay significantly more in liquid form.

Related Salary Guides

Compensation data for related companies and roles:

• AI Company Salaries (2026). Master hub covering 30+ frontier and enterprise AI companies.
• Databricks Salary (2026). The closest peer in late-stage AI infrastructure.
• Perplexity Salary (2026). A different late-stage private AI bet on the search side.
• AI Lab Levels Explained. How MTS at Scale maps to MTS at OpenAI and Anthropic.
• Alexandr Wang Salary. The founder's compensation, pre and post Meta deal.
• AI Engineer Salary (2026). Cross-industry compensation guide.