THE COMPANY

Seequent builds world-leading subsurface software, helping create a better understanding of the earth to ensure a better world for all.
We are constantly evolving at the forefront of technology to transform how geo-professionals work, eliminating barriers to understanding by connecting software, teams, and the tools they need.
Every day, our customers in over 100 countries work to develop mineral resources more sustainably, design and build better infrastructure, protect the environment, source renewable energy, and help resolve historical challenges such as groundwater contamination and ageing infrastructure.
Our integrated earth modelling, geo-data management, and team collaboration software enables them to see a more complete picture of the earth: because with more understanding comes better decisions – for people and the planet.
Headquartered in New Zealand with global reach, Seequent is the specialist subsurface software company within Bentley Systems. Together, we are helping build a more resilient world.
We’re a high growth, people-centric success story.
Seequent is a Bentley Systems company, working together to build a better future.

TECHNOLOGY WE USE:

• Python
• PyTorch
• Scikit-learn
• Modern Data plotting libraries (D3, plotly)
• Cloud providers (Microsoft Azure, Amazon AWS) and or ML ops is desired.
  Research shows that some individuals, particularly women and underrepresented groups, are less likely to apply for jobs unless they meet every single criterion. If you don’t think your experience perfectly aligns, or you don’t tick all the boxes, please don’t rule yourself out! Seequent are committed to hiring a diverse team and encourage individuals of all background and abilities to apply.
  Why you will enjoy working with us..
  You will be joining a highly skilled, highly productive team of technical experts who are passionate about what we do. We are a friendly, intelligent, and supportive bunch and are looking forward to you bringing your expertise to the team. Our wider team is geographically diverse and from multi-disciplines, so you will have opportunity to work with colleagues from across the globe.
  

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THE ROLE

You will be part of Seequent Labs, a research, prototyping and data science team with a culture of experimentation and customer engagement. As a data scientist you will contribute to a multi-disciplinary team with your expertise in machine learning, AI and data though novel and creative applications in subsurface modelling. Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc.

IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO:

• Problem-solve using machine learning and AI technologies including large language models (LLM).
• Be deeply involved in all aspects of producing innovative machine learning applications (design, maintenance and deployment).
• Develop cutting-edge AI/ML algorithms and models using best practices, while analyzing user challenges, workflows, and use cases to drive innovative solutions.
• Provide a technological watch over various areas of AI/ML and assist in data acquisition from diverse sources, while maintaining data integrity and quality.
• Effectively communicate data and results, present findings to peers, internal stakeholders, and users.
• Prepare reports and presentations and collaborate to help grow the ML team and ML capabilities.

IN ORDER TO BE SUCCESSFUL IN THIS ROLE, YOU SHOULD HAVE:

• BSc, MSc or PhD in machine learning or a related specialty in data science, a quantitative science, mathematics, computer science
• Demonstratable experience in research and development in machine learning – including deep learning and advanced techniques.
• Proficiency in utilising large language models.
• Expertise in designing, building and maintaining machine learning models and data pipelines.
• Preferred experience with AI models for solving problems related to imagery, GIS and/or 3D data e.g. point cloud and meshes.
• Commercial software development experience is highly desirable.
• Experience working with cloud-based data solutions.