Applied AI Data Scientist – Brazil

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Engage in a variety of client projects alongside internal research initiatives.

• Address real-world challenges and assist in the development of impactful products.

• Contribute to innovative AI alignment research.

• Create data-driven solutions and utilize machine learning models.

• Suggest and pursue high-impact research projects that align with our mission of enhancing agency.

⛳️ Requirements

• Proficiency in Python.

• Familiarity with the LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation.

• Demonstrated data science expertise: You have significantly contributed to impactful projects and understand how to achieve results with practical outcomes.

• Knowledge of statistical & causal ML fundamentals: expertise in experimental design, uncertainty quantification, and thorough model evaluation across tabular, time-series, and foundation-model fine-tuning tasks.

• Experience in deep learning: Proficient in building and training NLP or computer vision models using PyTorch, TensorFlow, or JAX.

• Agile & AI-enhanced development: You manage lean Kanban/Scrum cycles and utilize AI-powered tools like Cursor for rapid prototyping and delivery of high-impact solutions.

• Growth mindset: You welcome challenges, prioritize progress over perfection, and continually strive for improvement.

• Self-management skills: You can independently manage projects, take ownership, and deliver results without constant supervision.

• Understanding of product and UX: You are committed to providing a seamless, user-friendly experience.

• Proficient communication in English: Clear, concise, and potentially witty communication is vital.

🏝️ Benefits

• Remote-first culture: Work from any location, or join us at one of our offices.

• Flexible schedules: We focus on results, not micromanagement.

• Competitive compensation: Regular performance-based raises and a diversified employee equity program.

• Growth opportunities: Engage in cutting-edge R&D and propose projects that could evolve into our next innovative focus.

• Supportive environment: A team that collaborates, mentors, and shares knowledge.

• Perks: Weekly knowledge-sharing sessions, an annual team retreat, and much more.