avra — A seriyasidan keyin o‘z biznesini kengaytirayotgan rivojlanish bosqichidagi asoschilar bilan ishlaydigan venchur kapital kompaniyasi. Kompaniya portfelidagi kompaniyalarga biznesini rivojlantirishda yordam berish uchun strategik investitsiya va amaliy ko‘mak taqdim etadi hamda B2B va moliya sohalarida innovatsiya va tadbirkorlikni qo‘llab-quvvatlashga e’tibor qaratadi.
Head of AI Research — Remote in Brazil
Lead AI research for Avra’s Brazilian enterprise decision platform, focusing on graph-based foundation models. Guide scientists and engineers while turning advanced research into reliable production systems.
Tavsif
- Set the foundation-model research strategy across knowledge graphs, representation learning, and self-supervised or unsupervised methods
- Recruit, mentor, and develop a team of research scientists and engineers
- Create a disciplined research process spanning hypotheses, RFCs, experiments, and evidence-based decisions
- Develop advanced graph neural networks for large-scale graph applications
- Address node-, edge-, and graph-level problems, including multi-scale embeddings and temporal or inductive generalization
- Build dependable, reproducible training and evaluation workflows with PyTorch, PyG, and distributed-training frameworks
- Create and maintain rigorous benchmark suites for statistically valid model comparisons
- Work with Product Engineering to deliver models for batch and real-time inference
- Collaborate with go-to-market teams on enterprise success measures and explain business outcomes to technical and executive audiences
- Manage concept drift and strengthen deployment approaches for regulated environments
Talablar
- At least seven years of AI/ML experience, or a PhD combined with four years of relevant experience
- Track record of moving research from papers or prototypes into scalable, dependable software with measurable business results
- Advanced hands-on Python and PyTorch capability
- Strong command of graph-learning libraries such as PyTorch Geometric or DGL
- Sound software engineering practice, including testing, profiling, and maintainable system design
- Experience mentoring technical teams, leading major projects, or managing a team of two to six scientists or engineers
- Professional fluency in Portuguese and English
- Distributed training and inference experience is preferred
- Experience developing graph-based models is preferred
- Knowledge of graph-focused self-supervised or contrastive learning, plus either leading AI publications or substantial open-source work, is preferred
- A relevant degree or PhD is required