AI Researcher
Loora is on a mission to revolutionize education and break down language barriers with its cutting-edge AI, building the first-ever personal AI English tutor. Loora offers its users an AI tutor that is always available to talk about whatever they want, give immediate feedback on English skills, and guide them on their journey to fluency.
We're looking for an AI Researcher to help design and enhance Loora’s core intelligence capabilities. You'll work at the frontier of large language models and conversational AI - run experiments, develop novel techniques, and transform research breakthroughs directly into product impact. This is a role for someone who wants to research real-world challenges and ship to production: you'll be pushing the state of the art in domains like conversational dynamics, speech understanding, and agentic question answering, while seeing your work reach millions of language learners.
What You'll Do:
Drive original AI research across LLMs, dialogue systems, speech, and language understanding - from hypothesis through design and all the way to deployment
Design and run rigorous experiments; develop novel model architectures, fine-tuning strategies, and training methodologies
Own the full research lifecycle - ideation, experimentation, evaluation, and deployment into production
Apply and extend state-of-the-art techniques (RL, instruction tuning, RAG, agentic workflows, multimodal models) to real user-facing challenges
Collaborate with engineering and product to transform research findings into shipped features
Define research direction in your area and contribute to Loora's long-term AI roadmap
What We're Looking For
MSc or PhD in Machine Learning, AI, NLP, or a related field
A track record of bringing academic research to industry applications
A strong publication record at top-tier venues - NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL
Proven experience researching and deploying production-grade ML or AI systems
Deep hands-on experience with PyTorch, Transformers, and modern LLM tooling
Solid understanding of LLM pretraining, fine-tuning, post-training and alignment techniques
Strong coding skills and comfort working across the research-to-production boundary