Applied AI Data Scientist
AE Studio is a bootstrapped AI company conducting frontier AI-alignment research and delivering high-stakes production AI systems.
About AE Studio
AE Studio operates applied-AI and alignment-research practices under one company. Its applied work includes AI evaluations, red-teaming, observability, agentic automation, AI-native product development, and custom ML; its research focuses on neglected AI-alignment approaches.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Work across client projects and internal research initiatives to solve real-world problems, build data-driven solutions, leverage machine learning models, and pursue high-impact research aligned with increasing agency. Promising projects may become prioritized Skunkworks initiatives.
Requirements
- Fluency in Python
- Experience with the LLM lifecycle, including prompt design and engineering, RAG, few-shot prompting, chain-of-thought, vector databases, multimodality, fine-tuning, and evaluation
- Proven data science experience delivering real-world outcomes
- Statistical and causal ML fundamentals, including experimental design, uncertainty quantification, and rigorous model evaluation
- Deep learning experience building and training NLP or computer vision models with PyTorch, TensorFlow, or JAX
- Experience with Agile development using lean Kanban or Scrum cycles and AI-powered tools such as Cursor
- Growth mindset
- Self-management and ability to work independently
- Product and UX understanding
- Effective communication in English
Responsibilities
- Work on a mix of client projects and internal research initiatives
- Build data-driven solutions and leverage machine learning models
- Propose and pursue high-impact research projects
- Contribute to AI alignment research
- Manage client relationships and deliver results
Benefits
- Remote-first culture
- Flexible schedules
- Diversified employee equity program
- Health insurance
- Free lunches at the office
- Weekly knowledge-sharing talks
- Annual team retreat
- Equity in client projects and Skunkworks ventures
