Based in British Columbia, Canada, Ideon Technologies uses the energy from supernova explosions to image deep beneath the Earth’s surface. The Ideon REVEAL™ Platform is a subsurface intelligence solution that comprises proprietary hardware (that delivers a new-to-the-world data source) ruggedized for the most remote exploration sites and demanding of noisy in-mine environments, software, integrated imaging systems, and advanced data analysis and interpretation. Using sub-atomic particles called muons to image deep beneath the Earth's surface, Ideon creates high-resolution multi-dimensional models that help geologists identify, map, and characterize mineral deposits and other geological features such as caves and voids. Ideon also offers patented multi-sensor fusion capabilities that enable seamless data collection and integration from our proprietary sensors and third-party data. Ideon’s AI-powered workflow transforms the geological model into a high-resolution dynamic Earth model to inform ongoing operations. Our work reduces risk and cost of traditional methods, while saving time, optimizing return, and minimizing environmental impact across the mining value chain. In turn, this is helping accelerate the world’s transition to low-impact mining and transform how companies recover the critical minerals required to power the global shift to clean energy – improving peoples’ lives and enhancing economic prosperity.
The Role
We are seeking a collaborative Director, AI to drive the development of AI/ML-driven solutions for geoscience, with a focus on integrating multi-physics data, large language models, and neural network models. You will work with multidisciplinary teams to design workflows that leverage generative AI, process diverse geoscience datasets, and deliver impactful solutions.
Reporting to the CTO & Co-founder, you will be a part of and work in collaboration with senior leadership team members, including leaders in software, hardware, geoscience, and operations.
This is a new role; you'll have the opportunity to establish a foundation of AI/ML best practices while also building a small team of AI/data scientists.
In addition, you will impact and drive Ideon’s objectives by focusing on the following activities:
•Develop and deploy AI/ML models tailored to geoscience applications, including geology, geophysics, geochemistry, and multi-physics data integration.
•Design and implement LLMs and genAI solutions to enhance data processing, analysis, and decision-making workflows in geoscience.
•Create advanced neural network architectures for tasks such as predictive modeling, anomaly detection, and data synthesis.
•Integrate multi-physics datasets, including muon tomography along with other geophysical, geochemical and geological data, into cohesive and scalable solutions.
•Collaborate with geoscientists, engineers, and stakeholders to address domain-specific challenges and innovate solutions.
•Guide the implementation of genAI and neural network models into geoscience platforms and tools.
•Communicate technical findings, methodologies, and recommendations to both technical and non-technical audiences.
•Lead AI/data scientists, fostering a culture of innovation and technical excellence.
Success in the role looks like:
•Accelerated Deployment of AI/ML Innovations: Demonstrating success through rapid development and deployment of AI/ML technologies that significantly enhance Ideon’s product offerings.
•Leadership in Project Lifecycle: Exhibiting an exemplary ability to lead and manage the full lifecycle of AI/ML projects—from initial concept through to successful implementation and evaluation.
Priorities in the first few months will include:
•Familiarization and Integration: Quickly get up-to-speed with current AI/ML projects and data workflows at Ideon. This involves understanding ongoing projects, key personnel, and the specific geoscience challenges currently being addressed.
•Strategic Planning: Further define the roadmap for upcoming AI/ML initiatives.
•Team Building: Hire and/or develop new team members.
Must-haves – You’ll need the following to move forward in the hiring process (and be successful in the role).
Education
•Master’s or Ph.D. in Data Science, Computer Science, Geoscience, Geophysics, or a related field
Professional Experience
•10+ years in AI, data science, machine learning, and/or related fields
•3+ years of people leadership experience
•Deep understanding of machine learning and AI technologies, including neural networks, generative AI, and large language models (e.g., OpenAI GPT, BERT, or similar)
•Proficiency in frameworks like TensorFlow and PyTorch (at least one), and scikit-learn
•Strong programming skills in Python, R, or Julia
•Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) for large-scale data processing and modeling
Strategic Leadership & Vision
•Demonstrated success in delivering impactful AI/ML solutions driving business value, ideally for geoscience contexts
•Proven ability to build a strategy for cross-functional projects
•A deep understanding of and experience in AI/ML advancements
People Leadership
•Success leading people; a track record of building and developing high performance teams
•A foundation of people leadership practices in place i.e. setting clear expectations, giving and receiving feedback, coaching, performance improvement
•Well-developed communication skills in English at a fluent or professional level; able to influence and communicate technical concepts to employees in various levels across the company
•Legally able and currently documented to work full time hours in Canada
Nice-to-haves – While it would be nice to if you had some of the preferred experience and knowledge outlined below, we’re happy to train, coach and share our experience.
•Understanding of geoscience, including subsurface exploration and geological modeling
•Some experience in geoscience, geology, geophysics, geochemistry, or multi-physics integration
•Experience with geospatial analysis and tools like QGIS or ArcGIS, and 3D platforms like Leapfrog, Geoscience Analyst, or other
•Knowledge of time-series analysis and anomaly detection in multi-physics data
•Understanding of uncertainty quantification and statistical modeling in geoscience workflows
•Familiarity with DevOps practices and CI/CD pipelines for machine learning models
We also look for the following for all new Ideon team members:
•Experience or excitement for working in a tech scale-up; happy to wear a few hats and learn on the fly
•A can-do attitude and creative solutioning mindset with great problem-solving skills
•Willingness to learn, be adaptable, and take initiative in an ever-evolving environment
•Able to work well under pressure and to meet scheduled deadlines
•Able to uncover and present options for improvement and streamlining
•Solid teamwork skills; you’ll jump in to help where you can
•Great interpersonal skills; able to build relationships with colleagues, customers, and external stakeholders
•Able to add something “extra” to our culture beyond the work that you do (maybe you like to wow people with your home-baked goods, display wicked improv skills, or organize/play in post-work sports games)
More Role Details
Location: Our office is located at #150 - 4611 Viking Way, just off the No. 6 Road exit on the east-west connector in Richmond, BC, Canada. Lots of free parking is available and a bus stop is one block away.
This is a hybrid role. We love seeing our employees in the office a few times a week (2-3 days depending on team needs); you’re welcome to work from home the remainder of the week or come into the office all 5 days if that’s your preference. Our “be an adult” approach means you have the flexibility to determine your in-office schedule while factoring in the impact of face-to-face connection and communicating with your leader and teammates.
Hours of work: 8 hours/day, Monday to Friday. Typical working hours are 9AM-5PM-ish pacific time; some employees shift slightly earlier or later based on business and personal needs. You may occasionally be asked to be flexible with your hours due to business requirements.
Travel: Limited; there may be occasional travel to conferences and/or customer discovery sessions.
What We Offer
Salary: The annual salary range for this role, in Canadian dollars, is $170,000 - $220,000.
Ideon’s salary ranges are determined by role, level, and location. Vancouver, BC, Canada is the market we have benchmarked against. The range reflects the minimum and maximum new employee salary.
•An opportunity to work with a dynamic technology scale-up. You will be working to advance a ground-breaking solution that generates significant economic and environmental benefit.
•A team that is entrepreneurial by nature, mission-driven, and focused on doing things right to deliver great customer outcomes. We are committed to seeking out the best brains and the most exceptional humans, wherever they come from and however they happen to be packaged.
•Early equity option allocations upon hire plus the opportunity to earn performance-based option allocations annually.
•Accreditation and tuition support.
•Extended health and dental benefits, an employee assistance program, and a health/wellness spending account to cover things that may not fall into other categories (i.e. exercise classes, transit, daycare).
•An annual paid closure between the Christmas and New Year’s stat holidays, in addition to vacation time.
•Employee referral bonus.
•Casual dress – we like our jeans and hoodies.
•Free parking and tasty snacks at the office!
•While we work hard we also sprinkle social events and learning opportunities into our days.
Learn more about what it's like to work here at ideon.ai/careers.