Artificial Intelligence Researcher

A well-funded applied AI startup is building advanced systems to distinguish human-created content from machine-generated content. The team combines frontier research with real-world deployment, turning cutting‑edge ideas into production systems used at scale.

They’re hiring an AI Research Scientist to improve and scale core detection models. This is a hands‑on role where you’ll train large neural networks, design experiments, and push model performance forward, while also shipping code into production.

• Train and fine‑tune large‑scale deep learning models
• Design experiments to improve robustness and generalization
• Create and leverage synthetic data at scale
• Contribute new ideas that materially improve model accuracy
• Collaborate with engineering to deploy research into production systems
• Share insights through technical writing or publications where appropriate

This is not a purely academic role, you’ll be expected to code, ship, and iterate.

• PhD in ML/AI/NLP (or equivalent research experience at a leading AI lab)
• Publications at top‑tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
  or meaningful contributions to deployed AI systems
• Strong understanding of generative models and modern LLMs
• Experience training models in PyTorch at scale
• Evidence your research has led to real‑world impact

• Work in robustness, interpretability, synthetic data, or model evaluation
• Background in NLP, vision, audio, or other adjacent ML domains
• Experience with distributed training or ML infrastructure

• Early‑career researcher (including strong new PhDs) who wants applied impact
• Industry researcher who wants more ownership and product exposure
• Someone motivated by AI integrity, trust, and responsible deployment

Small team. High ownership. Deep technical problems. Real‑world impact.