Head of Research, AI

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

🧠 AI Research Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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avra

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

💸 Finance

🤝 B2B

Consulting • Finance • B2B

Avra is a venture capital firm dedicated to empowering growth stage founders by providing the essential support needed to scale their companies after Series A funding. With a commitment to building a prosperous future together, Avra focuses on strategic investments that foster innovation and entrepreneurship.

📋 Description

• Own the research roadmap for Foundation Models focused on knowledge graphs, representation learning, and self-supervised and unsupervised methods • Lead, mentor, and grow a team of research scientists and engineers • Establish a rigorous research cadence covering hypothesis definition, RFCs, experimentation, and data-driven decisions • Design and implement state-of-the-art graph neural networks for large-scale graph problems • Solve node-, edge-, and graph-level tasks, multi-scale embeddings, and temporal/inductive generalization • Build reliable, reproducible training and evaluation pipelines using PyTorch, PyG, and distributed training frameworks • Define and maintain gold-standard benchmarks for statistically sound model comparisons • Collaborate with Product Engineering to productize models for batch and online inference • Partner with GTM teams to define enterprise-client success criteria and communicate business impact to technical and executive stakeholders • Account for concept drift and improve model-deployment strategies in regulated contexts

🎯 Requirements

• 7+ years of experience in AI/ML (or a PhD + 4 years) • Demonstrated ability to ship research into production, taking ideas from a paper or prototype to scalable, reliable code with measurable business impact • Hands-on excellence in Python and PyTorch • Deep proficiency in graph learning libraries such as PyTorch Geometric or DGL • Solid software engineering fundamentals, including testing, profiling, and building maintainable systems • Proven experience mentoring and leading technical projects or managing a small team of 2–6 scientists/engineers • Professional proficiency in both Portuguese and English • Preferred: experience with distributed training and inference • Preferred: experience working with graph-based models • Preferred: deep knowledge of self-supervised or contrastive learning techniques, particularly for graphs • Preferred: strong publication record in top-tier AI conferences or significant open-source contributions