R&D Manager, Imaging Geophysics And Ai

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R&D Manager, Imaging Geophysics and AI
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- Avenida Presidente Wilson
231
Rio de Janeiro, Brazil
Posting Start Date: 7/16/26
Field of Work: Geoscience / Geophysics
Req Id: 741
As the R&D Manager, you will lead a multidisciplinary team of Research Geophysicists, Data Scientists, and Scientific Software Developers within our Rio de Janeiro R&D hub.
You will serve as the strategic bridge between pure scientific research and scalable production software, overseeing the development of next-generation seismic processing and machine learning (ML) solutions.
Your primary objective is to accelerate R&D milestones while fostering a culture of technical excellence, professional maturity, and interdisciplinary collaboration.
Responsibilities:
Team Leadership: Direct and mentor a diverse team, including direct reports under the Research and Technology and Data Science departments.
Strategic Translation: Act as the primary "translator" between geophysical theory, machine learning experimentation, and production-grade software engineering.
Project Oversight: Manage the end-to-end lifecycle of transforming experimental prototypes into robust, high-quality software solutions.
Workflow Optimization: Drive the integration of AI/ML into physics-based processes and identify bottlenecks in traditional seismic processing sequences.
Standard Advocacy: Champion software engineering best practices (clean code, CI/CD, modular architecture) and experimental rigor across all research activities.
Resource Management: Balance technical debt with the need to meet aggressive research milestones, ensuring code health and reproducibility.
External Representation: Represent the team's innovations in external research activities, publications, and technical forums.
Key Competencies
Interdisciplinary Mastery: Deep understanding of the intersection between Scientific Machine Learning, Seismic Theory, and Software Craftsmanship.
Operational Maturity: Proven ability to manage complex technical problems and advocate for long-term code health in a high-pressure R&D environment.
Collaboration & Communication: Exceptional ability to communicate complex concepts across different domains (e.g., explaining Wave Physics to Software Engineers)
Automation Mindset: Commitment to automating repetitive data processing and manual QC workflows to streamline seismic and subsurface data pipelines.
Qualifications:
Education: PhD in Geophysics, Physics, Machine Learning, Computer Science, or a related quantitative field.
Technical Experience:
Significant experience in Python and its scientific stack (NumPy, SciPy, PyTorch).
Experience with Seismic Processing sequences, signal processing, or wave physics.
Domain Expertise: Demonstrated expertise and publications in modern ML architectures (e.g., ViT/U-Nets) and/or advanced geophysical inversion theory.
Infrastructure Knowledge: Exposure to pipeline orchestration (Airflow/Prefect), containerization (Docker), and large-scale scientific data formats (Zarr).
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