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Machine Learning Resident
3 weeks ago
Dave Staszak, Machine Learning Scientist and Adam Danyleyko, Product Owner, Advanced Technology
**About the Role**
**About the Client**
The Alberta Utilities Commission (AUC) is a dynamic, forward-thinking organization where industry experts collaborate daily to tackle complex energy and utility challenges on behalf of the Government of Alberta. By setting critical policies and regulatory frameworks, the AUC drives real-world impact and transformative change in shaping the province’s energy future. We champion safe, reliable, and fairly priced energy services for all Albertans, regulating both investor-owned and certain municipally owned utilities to ensure dependable service at just and reasonable rates.
The AUC’s commitment extends to guiding how electric facilities are built, operated, and decommissioned—emphasizing efficiency and environmental responsibility every step of the way. Beyond that, we oversee the wholesale electricity market and the province’s retail gas and electricity markets, working tirelessly to foster innovation, transparency, and excellence across Alberta’s entire energy sector. Joining the AUC means being part of a dedicated team committed to continuous innovation, where you’ll make meaningful contributions that benefit communities across the province.
**About the Project**
**Project Objective**:
**Expected Outcome**:
**Security and Privacy**:
**AUC's Vision for the Future**
The AUC views this PoC as the first step for broader, transformative initiatives. By embracing cutting-edge ML technologies, the AUC aims to dramatically enhance regulatory efficiency and effectiveness—laying a solid foundation for a wide array of future projects.
Looking ahead, the AUC plans to expand its use of ML into critical areas like legal analysis and engineering support, streamlining processes and improving decision-making to better serve the public. This forward-thinking approach underscores the Commission’s commitment to innovation, continuous improvement, and excellence in regulatory practice.
Moreover, by investing in responsible and ethical AI, the AUC seeks to redefine the regulatory landscape and establish itself as a leader in the industry. Should the Resident be hired after their term, they will play a pivotal role in driving these initiatives forward, contributing to a culture of technological advancement that benefits both the AUC and Albertans at large.
**Required Skills / Expertise**
Are you passionate about building great solutions? You’ll be presented with opportunities to both personally and professionally develop as you build your career. We’re looking for a talented and enthusiastic individual with a solid background in machine learning, specifically NLP and LLMs.
**Key Responsibilities**:
- Design, implement, and optimize ML algorithms for Natural Language Processing (NLP) and Agentic tasks (summarization, Q&A, iterative generation, etc.)
- Identify, prepare, and optimize large structured and unstructured datasets for ML modeling
- Conduct applied research on ML techniques, with a focus on understanding and addressing the limitations of existing models
- Collaborate with project team and stakeholders to develop minimum viable products (MVPs) and client focused solutions
- Engage in regular client meetings, contributing to presentations and reports on project progress
- Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities
- Support the productionalization and deployment of models in client environment
**Required Qualifications**:
- Completion of a graduate level program or higher (M.S./Ph.D) in Computer Science, ML or Engineering
- Research or project experience in machine learning, specifically using NLP tools and techniques
- Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, PyTorch, Pandas, Tensorflow, JAX)
- Familiarity with linux, Git version control, and writing clean code
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada
**Preferred Qualifications**:
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning
**Non-Technical Requirements**:
- Desire to take ownership of a problem and demonstrated leadership skills
- Interdisciplinary team player enthusiastic about working together to achieve excellence
- Capable of critical and independent thought
- Intellectual curiosity and the desire to learn new things, techniques, and technologies
**Why You Should Apply**
Besides gaining industry experience, additional perks include:
- Work under the mentorship of an Amii Scientist for the duration of the project
- Participate in professional development activities
- Gain access to the Amii community and events
- Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
- Build your professional network
- The opportun
