AI Research Scientist – NLP/Computational Linguistics
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.
What You’ll Do
- 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.
What They’re Looking For
- 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
Bonus Points
- Work in robustness, interpretability, synthetic data, or model evaluation
- Background in NLP, computational linguistics, vision, audio, or other adjacent ML domains
- Experience with distributed training or ML infrastructure
Ideal Profile
- 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.
