We are looking for an AI Research Engineer to help design and prototype advanced AI capabilities that power our platform.
This role sits at the intersection of research and engineering. You will explore new approaches in machine learning and large language models, and translate promising ideas into practical systems that can operate at scale.
You will work closely with the Head of AI and ML engineers in a small and highly technical team, contributing to the long-term evolution of our AI capabilities.
What You'll Work On
- Prototype and evaluate new machine learning and LLM-based approaches
- Design architectures for integrating LLMs into ML pipelines and data workflows
- Develop models for predictive and behavioral learning problems
- Experiment with representation learning, embeddings, and large-scale modeling
- Translate research ideas into working prototypes and production-ready components
- Stay up to date with recent developments in AI and applied ML
Tech Stack
- Python
- Databricks
- GitHub
- PyTorch / ML frameworks
- LLM tooling and embedding models
- Large-scale data and ML pipelines
What We're Looking For
- MSc or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related fieldStrong background in machine learning and deep learning
- Experience working with LLMs or transformer-based models
- Strong Python programming skills
- Ability to translate research ideas into practical implementations
Nice to have:
- Experience with LLM systems, RAG pipelines, or embeddings
- Experience with recommendation systems or behavioral modeling
- Experience with multi-agent systems
- Experience working with large-scale datasets
- Publications or research experience in machine learning or AI
What We Offer
- Opportunity to work on applied AI problems with real-world impact
- A small, highly technical AI team
- High ownership and autonomy
- Opportunity to shape the company’s **long-term AI direction
Tags & focus areas
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