Phd Vision Science Jobs in Calgary, AB (NOW HIRING)

About 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 Senior Data Scientist, you will contribute to a multi-disciplinary team with your expertise in generative AI, agentic AI, machine learning 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.

In this role, you will have the opportunity to: 

Technical Skills and Problem-Solving

• Problem-solve geoscience challenges using advanced machine learning and AI technologies, including Large Language Models (LLMs).
• Develop and optimize AI/ML algorithms using accepted best practices, rigorously assessing model performance and resilience.
• Deliver high-quality, user-friendly prototypes and integrated algorithms that directly address customer needs and workflows.

Data Management

• Lead data acquisition efforts from various sources while rigorously analyzing data integrity and quality.
• Develop comprehensive data cleaning strategies and prepare robust training datasets for model development.

Research and Development

• Analyze user challenges and workflows to deeply integrate into all aspects of designing, maintaining, and deploying innovative ML applications.
• Maintain a technological watch over the AI/ML landscape, staying up-to-date with relevant scientific literature and research.

Communication and Collaboration

• Prepare and present compelling reports on results to peers, internal stakeholders, and end-users.
• Collaborate and share knowledge to actively grow the AI team's capabilities and find efficient, intuitive ways to communicate complex data.

Professional Growth and Contribution

• Expand the organization's overall capability in the AI space while actively learning workflows in subsurface modeling (geomodeling, geophysics, geostatistics).

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.
• 7+ years of experience research and development in machine learning - including deep learning and advanced techniques.
• Experience using large language models.
• Experience with LangChain and LangGraph.
• Experience with complex orchestration of agentic solutions.
• Experience with AI models for solving problems related to imagery, GIS and or 3D data e.g. point cloud and meshes is preferred.
• Commercial software development experience is preferred.
• Experience working with cloud-based data solutions.
• Programming and use of tools related to our area of practice such as: Python, PyTorch.
• Experience using modern data plotting libraries (D3, plotly).

The ideal candidate will also possess the following qualities:

• Outstanding interpersonal skills to cultivate and sustain strong, collaborative partnerships across teams.
• Proven ability to rapidly deep-dive into unfamiliar topics, synthesize information, and master new concepts with speed.
• A persistent, solution-oriented mindset with a genuine enthusiasm for tackling complex problems and continuous learning.

Additional Information

This is a hybrid position, and you are required to be in the Calgary office two days a week.

Seequent is a global company, and flexibility in working hours may be required to accommodate work across different time zones.

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