Research Scientist, Frontier Risk Evaluations
Scale AI · Research
- Location
- San Francisco, CA; New York, NY
- Metro
- San Francisco Bay Area, New York City
- Workplace
- Unspecified
- Level
- Unspecified
- Type
- Unspecified
- Pay
- $216K–$270K/yr (estimated from posting text)
- Posted
- 7 months ago
- Source
- Greenhouse
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What the posting covers
Scale Labs, Research Scientist — Frontier Risk Evaluations
As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy…
Ideally you’d have
Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Practical experience conducting technical research collaboratively. You should be comfortable building and…
Nice to have
Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies. Experience with red-teaming or adversarial testing of AI systems. Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act,…
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels…
About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy,…
Excerpts only. The employer’s page has the complete posting.