Founding Applied Researcher
$175k - $300kVerita AI
San Francisco, CA | Full Time | In Person | Competitive Salary + Meaningful Equity
Verita AI is building the foundational data infrastructure powering next-generation image, video, and audio models.
- We are a small, high-talent-density team from Stanford and Mercor
- We recently We are backed by the Co-Founder of xAI, the Founder of Periodic Labs, Sora researchers, DeepMind alignment and evaluation leads, and senior researchers across Salesforce AI, Meta, and Google, Anthropic
- We love backgrounds in quant, research, and top startups
- We believe exceptional talent should be highly rewarded and offer highly competitive salary + equity to ensure you share meaningfully in the upside
- We expect everyone to show initiative to build where it's needed, not where it's asked. We strive for autonomy over consensus.
Compensation
- $175,000 - $300,000+ salary depending on experience + competitive equity package
- Deep ownership over product
About the Role
We are looking for exceptional applied researchers to design and build the next generation of Generative Media benchmarks. You will create high impact, challenging evaluations that push the boundaries of what we can measure in foundation models and work with researchers at frontier labs + startups.
What You'll Do
- Design and develop novel, high-impact benchmarks that assess challenging real-world capabilities
- Collaborate with foundation model labs and enterprises to understand evaluation needs
Requirements
- Advanced research experience: Master's degree or PhD in Computer Science, NLP, Machine Learning, or related field. Undergrads with very strong research backgrounds will also be considered.
- Publication track record: Published papers in reputable venues (NeurIPS, ICML, ACL, EMNLP, etc.) with focus on NLP, ML evaluation, or benchmarking
- Technical skills: Proficiency in Python for research and experimentation
How to Apply
If this sounds like you, email View email address on click.appcast.io with five sentences only on why you are the right candidate. We will get back to you within 24 hours with next steps. Or apply via LinkedIn.
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