Research Scientist – Graph Foundation Models

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🕒 April 20

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avra

1 - 10 employees

We created avra with a clear goal - to empower growth stage founders with the right foundation required to scale their company post Series A.

📋 Description

• Innovative Model Architecture: Design, implement, and refine new machine learning and deep learning architectures by staying current with academic research and reading relevant papers daily. • End-to-End Pipeline Management: Build, test, and monitor robust data pipelines and training processes, ensuring scalability and reliability in production environments. • Model Fine-Tuning & Customization: Adapt and optimize our foundational models for various client needs, leveraging experimentation and hyperparameter tuning platforms. • Application Development: Develop diverse AI-driven applications that integrate seamlessly with our platform, translating research insights into real-world solutions. • Product Integration: Collaborate with engineering and product teams to transform complex business challenges into technical solutions that harness the power of frontier research. • Technical Leadership: Take full technical ownership of research projects, making strategic decisions that directly influence the evolution of our products.

🎯 Requirements

• Experience: At least 5 years in designing, implementing, and monitoring impactful machine learning models. • Academic Background: Bachelor’s degree (preferably with a specialization or Master’s) in Statistics, Computer Science, Mathematics, Physics, Economics, or a related quantitative field. • Technical Proficiency: Extensive experience with modern deep learning frameworks (preferably PyTorch) and a solid understanding of state-of-the-art modeling techniques. • Research Mindset: Strong ability to design experiments, evaluate model performance, and implement algorithmic improvements based on the latest research. • Collaboration: Excellent communication skills and experience working in agile, cross-functional teams.

🏖️ Benefits

• Competitive Compensation: Attractive salary, equity participation, and full transparency in our compensation package. • Autonomy and Impact: Work directly with our founders and technical leadership, with the freedom to shape the direction of groundbreaking research. • Cutting-Edge Environment: Engage in frontier research, working with huge amounts of data and developing models that have real-world impact across diverse applications. • Global Expertise: Benefit from the guidance of global AI advisors and join a team recognized by AWS as one of the three model builders in LATAM. • Flexible Culture: Enjoy 100% remote work with access to our São Paulo office, unlimited vacation, and a comprehensive benefits package including a national health plan and extended parental leave.

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