Applied AI Data Scientist (Brazil)
AE Studio
| Company | AE Studio |
| Category | Data & Analytics |
| Location | Florianopolis office/ Brazil remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 12 Apr 2021 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
AE Studio builds products, platforms, and internal ventures that increase agency for all conscious beings. We combine world-class software engineering, AI expertise, and product design to ship ambitious projects that matter.
ABOUT THE ROLE
As a Data Scientist at AE Studio, you’ll work on a mix of client projects and internal research initiatives. You’ll solve real-world problems, help build meaningful products, and contribute to groundbreaking AI alignment research. Your work will involve building data-driven solutions, leveraging machine learning models, and using your creativity to deliver results that matter.
In addition to client projects, you’ll have the opportunity to propose and pursue high-impact research projects , especially those aligned with our mission of increasing agency. Promising projects could even become prioritized skunkworks initiatives.
We want problem-solvers who are adaptable, collaborative, and excited to push boundaries. If this sounds like you, let’s talk.
ABOUT YOU
You thrive on solving challenging problems and bring a mix of technical expertise, creativity, and humor to your work. You enjoy working independently but also love collaborating with a team that shares your passion for making a difference.
Required Skills and Experience
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 : You’ve been a key contributor to impactful projects and know how to deliver results with real-life outcomes.
Statistical & causal ML fundamentals: expertise in experimental design, uncertainty quantification, and rigorous model evaluation across tabular, time-series, and foundation-model fine-tuning tasks.
Deep learning experience : Expertise in building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX.
Agile & AI-powered development: You run lean Kanban/Scrum cycles and leverage AI-powered tools like Cursor to prototype quickly and ship high-impact solutions.
Growth mindset : You embrace challenges, value progress over perfection, and constantly seek to improve.
Self-management : You can work independently, take ownership of projects, and deliver without constant oversight.
Product and UX understanding : You care about delivering a seamless, user-friendly experience.
Effective communication in English : Clear, concise, and maybe even witty communication is essential.
Bonus Points for
Self-managed projects : Ideally something that you helped develop from zero and shipped to real users.
Startup experience : You thrive in dynamic environments and enjoy taking on new challenges.
Client relationship management : Experience managing clients and delivering excellent results.
Passion for AI alignment : You care deeply about humanity’s future and want to help navigate the challenges of advancing AI.
WHAT WE OFFER
Remote-first culture: Work from anywhere, or join us in one of our offices.
Flexible schedules: We care about outcomes, not micromanagement.
Competitive pay: Regular performance-based raises and a diversified employee equity program.
Opportunities for growth: Work on cutting-edge R&D and propose projects that could become our next skunkworks focus.
Supportive environment: A team that collaborates, mentors, and shares knowledge.
Perks: Weekly knowledge-sharing talks, an annual team retreat, and much more.
EQUITY
Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.
The longer you stay, the more value you create and the more equity you receive. If you