Research Engineer, NLP
Drive cutting-edge NLP research into production. You'll experiment with LLMs, embeddings, and custom architectures to build high-performance systems that extract structure and meaning from complex scientific data.
Responsibilities
- Research, prototype, and productionise NLP models for classification, summarisation, and information extraction
- Fine-tune LLMs and embedding models for domain-specific tasks
- Build and iterate on RAG pipelines, semantic search, and text-to-structure systems
- Collaborate with science and engineering teams to align models with real-world data and product goals
- Stay current with the latest NLP research and assess applicability to our domain
- Rapidly test, benchmark, and ship improvements to models in production
technical requirements
- Strong experience with NLP, including fine-tuning transformers and training custom models
- Familiarity with LLMs, embeddings, RAG pipelines, and vector databases
- Proficient in Python, PyTorch or TensorFlow, and ML tooling
- Experience building and deploying models in production environments
- (Bonus) Knowledge of chemical or scientific text, patents, or structured extraction tasks
- (Bonus) Experience with FastAPI, Docker, PostgreSQL, or cloud infra
personal attributes
- Deep curiosity and drive to solve open-ended research problems
- Strong ownership mindset and bias for shipping over perfection
- Able to reason clearly under ambiguity and work across disciplines
- Fast learner who adapts quickly to new tools and ideas
- Comfortable in a fast-moving, startup environment with evolving priorities
what you’ll get
- Work at the frontier of NLP and scientific discovery
- High-agency environment with rapid iteration and real product impact
- Direct access to production data and users — your work will ship fast
- Remote-first, flexible work setup with Sydney office option
- Collaborate with AI engineers, scientists, and founders solving meaningful problems
- Accelerated learning curve and strong career upside
NOTES
Join our team
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We teach
computers science.
OUR WHY
We are building chemistry-specific intelligence. Chemistry touches nearly every aspect of our lives and the problem we're trying to solve has significant scope and magnitude. It will directly affect people's lives for the better if we're successful. We are doing something that has never been done before - operating at a unique intersection of the physical and digital world.
