
Research Scientist – Graph Foundation Models
Posted May 19

Posted May 19
This is a fully remote position, open to applicants in Brazil.
• Innovative Model Architecture: Create, implement, and enhance advanced machine learning and deep learning architectures by keeping abreast of academic research and reviewing pertinent papers on a daily basis.
• End-to-End Pipeline Management: Construct, evaluate, and oversee robust data pipelines and training processes, ensuring they are scalable and reliable within production settings.
• Model Fine-Tuning & Customization: Tailor and optimize our foundational models to meet diverse client requirements, utilizing experimentation and hyperparameter tuning platforms.
• Application Development: Build a variety of AI-driven applications that integrate smoothly with our platform, converting research insights into practical solutions.
• Product Integration: Partner with engineering and product teams to turn complex business challenges into technical solutions that leverage cutting-edge research.
• Technical Leadership: Assume complete technical ownership of research projects, making strategic decisions that significantly impact the development of our products.
• Experience: Minimum of 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 discipline.
• Technical Proficiency: Extensive experience with contemporary deep learning frameworks (preferably PyTorch) and a solid grasp of state-of-the-art modeling techniques.
• Research Mindset: Strong capability to design experiments, assess model performance, and apply algorithmic enhancements based on the latest research findings.
• Collaboration: Excellent communication skills and experience working within agile, cross-functional teams.
• Competitive Compensation: Attractive salary, equity participation, and complete transparency in our compensation structure.
• Autonomy and Impact: Collaborate directly with our founders and technical leadership, with the freedom to influence the direction of pioneering research.
• Cutting-Edge Environment: Participate in frontier research, working with substantial datasets and developing models that deliver real-world impact across various applications.
• Global Expertise: Gain insights from global AI advisors and join a team acknowledged by AWS as one of the top 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 that includes a national health plan and extended parental leave.
Eurofins
American Institutes for Research
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