Role overview
Direct message the job poster from Lumicity
Dave Broadbent
Dave Broadbent
AI Recruitment Consultant @ Lumicity | Recruiting Researchers & Engineers with Foundational AI Experience
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
What we're looking for
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.
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Research
Industries
Software Development and Research Services