Applied Machine Learning Scientist - Remote

Overview

The Applied Machine Learning Scientist will have the autonomy to define and execute an applied research agenda, enhancing foundational models and ensuring cutting-edge technical excellence.

In Short

• Design, implement, and refine internal machine learning and deep learning models.
• Develop, test, and monitor the data pipeline, ensuring robustness and scalability.
• Create and implement metrics to track model performance and drive continuous improvements.
• Collaborate with engineering and product teams to translate business challenges into technical solutions.
• Lead technical projects in deep research, making strategic decisions impacting product evolution.
• Work autonomously and take full responsibility for projects.
• Passion for technical challenges and experience with complex data pipelines.
• Strong understanding of machine learning fundamentals and experience with frameworks like PyTorch, Jax, or TensorFlow.
• Experience in agile and cross-functional environments.
• Experience with distributed systems and large data processing is a plus.

Requirements

• Minimum of 5 years of experience in creating, implementing, and monitoring impactful machine learning models.
• Degree in Statistics, Computer Science, Mathematics, Physics, Economics, or related quantitative fields.
• Proficiency in deep learning frameworks and modern modeling techniques.
• Ability to conduct experiments and implement algorithmic improvements.
• Collaborative profile with experience in transforming business challenges into robust technical solutions.

Benefits

• Competitive salary, equity participation, and transparency in compensation package.
• Work directly with founders and technical leadership.
• Real technical challenges in a deep tech environment.
• 100% remote work with an office available in São Paulo.
• Comprehensive health plan and extended parental leave.