Applied AI Data Scientist
AE Studio is a bootstrapped AI company that combines frontier AI alignment research with applied AI consulting and production software development. It serves enterprises, startups, private-equity portfolios, schools, airlines, healthcare organizations, and other organizations with high-stakes AI needs.
About AE Studio
Founded in 2016, AE Studio operates as a bootstrapped product and technology studio with two connected divisions: frontier AI alignment research and applied AI services. Its applied work includes AI-native products, custom machine learning, agentic automation, knowledge graphs, AI platforms, evaluation, red-teaming, observability, and AI transformation. The company embeds senior technical and product teams with clients to build and operate production systems. Its published work covers airline revenue optimization, education technology, healthcare and neurotechnology, manufacturing automation, financial services, gaming, blockchain, and enterprise software. AE Studio states that it is self-funded, has no outside investors, and reinvests consulting profits into alignment research.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You'll work on a mix of client projects and internal research initiatives, solving real-world problems and helping build meaningful products. You'll build data-driven solutions, leverage machine learning models, and use your creativity to deliver results that matter. Beyond client work, you'll have the opportunity to propose and pursue high-impact research projects, especially those aligned with the mission of increasing agency, and promising projects could even become prioritized skunkworks initiatives.
Requirements
- Fluency in Python
- Experience with LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation
- Proven data science experience delivering results with real-life outcomes
- Statistical & causal ML fundamentals: experimental design, uncertainty quantification, and rigorous model evaluation across tabular, time-series, and foundation-model fine-tuning tasks
- Deep learning experience building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX
- Experience with Agile & AI-powered development using lean Kanban/Scrum cycles and AI-powered tools like 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