VP, Research
Scale AI · San Francisco, CA; New York, NY · Research · listed August 1, 2026
The shape of it
Seniority
Executive
Where
Not stated
Stated pay
$453,600 – $567,000 USD
Requirements listed
1
Length
951 words
In the posting’s own words
As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the progress of generative AI, with a focus around frontier evaluations, the science of data around posttraining, agentic applications, trustworthy agents oversight framework and beyond. Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. Additionally, Scale plays an integral role in understanding the capabilities and safeguarding of LLMs. Scale Labs is Scale's frontier research effort dedicated to tackling the challenging research problems in evaluation, agents, post-training, reasoning, safety and alignment of advanced AI systems. The SPRL team is a new effort focused on safety and policy research to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.
What it asks for · 1
- Has a strong track record of leading ML Research teams in high-growth environments, ideally in ML, infrastructure, or complex systems
What the job covers
- Lead the ML Research function, responsible for delivery, quality, performance, and roadmap execution
- Build and scale a global high-performing team, with an emphasis on initiative ownership and ML excellence
- Partner directly with Fortune 100 customers and the GTM team to translate business needs into scalable technical solutions
- Collaborate with engineering, product, and delivery teams across Scale to drive cutting edge research
- Shape the long-term vision and org design of the ML Research team, aligned with business growth and product evolution
- Manage and mentor senior ML Research leaders and instill a culture of accountability, speed, and results
- Make rigorous tradeoffs across technical and business dimensions, backed by financial insight and operational understanding
- Represent ML Research in cross-functional planning cycles, including headcount, budget, and strategic initiatives
Tools and skills named
Models & research
- Machine learning9×
- Evaluations
- LLM
Go to market
- Go-to-market2×
- Customer success
Product & design
- Roadmap
Ways of working
- Cross-functional
Words the posting leans on
- research17×
- delivery4×
- frontier4×
- lead4×
- systems4×
- technical4×
- agents3×
- business3×
- capabilities3×
- customers3×
- data3×
- engineering3×
- evaluation3×
- leading3×
- partner3×
- product3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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