Senior AI Researcher
Posted May 21 · 0 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
This role focuses on conducting non-trivial research in deep learning, specifically modifying and evaluating models or methods such as LLMs, CV, or speech. Day to day, the researcher will design experiments, test causal hypotheses, propose novel research directions, and perform data analysis including exploration, cleanup, and visualization.
- Deep learning expertise with a track record of non-trivial research in LLMs or other domains
- Strong experimental design and scientific writing
- PhD or equivalent research experience in industry (5+ years in a leading research team)
- Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch)
- Experience in data analysis: visualization, exploration, cleanup
- Publication record or a portfolio of high-impact open artifacts
- Experience with a production grade codebase with several contributors
- Knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced AI researchers with a PhD or 5+ years of industry research experience who have a strong publication record or portfolio of open artifacts. It is less ideal for candidates who only use existing AI models without experience altering architectures or training methodologies.
Full job description
Original listing · kept for referenceAbout Us: Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.
Requirements: • Deep learning expertise with a track record of non‑trivial research (industry or academia) in LLMs or other domains (e.g., CV, speech). We care that you’ve changed models or methods in meaningful ways (architecture/training/eval), not just used them. • Strong experimental design and scientific writing; comfort pre‑registering hypotheses, testing causal claims, proposing novel directions in a fast-changing field. • PhD or equivalent research experience in the industry (5+ years in a leading research team). Publication record or a portfolio of high‑impact open artifacts will make you stand out from the crowd. • Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch); Experience with a production grade codebase with several contributors is a bonus. • Experience in data analysis: visualization, exploration, cleanup. • Knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems - a bonus.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Deep learning expertise with a track record of non-trivial research in LLMs or other domains, Strong experimental design and scientific writing, PhD or equivalent research experience in industry (5+ years in a leading research team), Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch), Experience in data analysis: visualization, exploration, cleanup