Applied AI Data Scientist
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.
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
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
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