Related skills
deep learning pytorch machine learning mlops ml pipelines📋 Description
- Innovative Model Architecture: Design and refine new ML architectures; read papers daily.
- End-to-End Pipeline Management: Build, test, and monitor data pipelines and training.
- Model Fine-Tuning & Customization: Adapt and optimize models for client needs.
- Application Development: Build AI-driven apps that integrate with our platform.
- Product Integration: Collaborate with engineering and product teams on technical solutions.
- Technical Leadership: Take full technical ownership of research projects.
🎯 Requirements
- Deep hands-on experience with PyTorch or similar DL frameworks.
- Passionate about frontier research; regularly read academic literature.
- Track record with complex data pipelines and large-scale ML systems.
- Experience with experiments and tuning models using hyperparameter platforms.
- Experience with graph-based models is a plus.
- Thrives in a dynamic cross-functional team and takes ownership.
🎁 Benefits
- Attractive package including equity
- Autonomy and impact: work with founders and leadership
- Cutting-edge environment: frontier AI research with large data
- Global expertise: AI advisors guidance; LATAM AWS recognition
- Flexible culture: 100% remote; São Paulo office; health plan; parental leave
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