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.
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 chance to propose and pursue high-impact research projects, especially those aligned with increasing agency, and promising projects could even become prioritized skunkworks initiatives. You'll bring technical expertise, creativity, and humor to your work, thriving both independently and as part of a collaborative team.
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 and causal ML fundamentals including 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 running Agile Kanban/Scrum cycles and leveraging AI-powered tools like Cursor to prototype quickly
- Growth mindset and ability to embrace challenges
- Self-management and ability to work independently and take ownership of projects
- Product and UX understanding
- Effective communication in English
Responsibilities
- Work on a mix of client projects and internal research initiatives
- Build data-driven solutions using machine learning models
- Propose and pursue high-impact research projects aligned with increasing agency
- Contribute to AI alignment research
- Deliver results with real-life outcomes
Benefits
- Remote-first culture with option to work from an office
- Flexible schedules
- Diversified employee equity program
- Opportunities to work on cutting-edge R&D and propose skunkworks projects
- Weekly knowledge-sharing talks
- Annual team retreat