Canada Job Openings
Alberta Machine Intelligence Institute
Machine Learning Resident - Client: Ultimarii (12 months)
Edmonton
October 26, 2024
About the Role
This is a paid residency that will be undertaken over a twelve-month period with the potential to be hired by our client Ultimarii afterwards (note: at the discretion of the client). The resident will be reporting to an Amii Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities. At the end of the engagement, it is expected that the work could be publishable to a respected conference or journal.
About our Client
Ultimarii is a leading technology company based in Calgary, Alberta, Canada, dedicated to accelerating major projects. At Ultimarii, we harness the power of artificial intelligence to create innovative products and services that meet the evolving needs of Project Owners and the consultants that support them. Ultimarii is committed to creating a diverse environment and is proud to be an equal opportunity employer.
About the Project
Ultimarii empowers project owners and developers to fast-track major project development with our innovative AI-powered products. This project will lead the development of products trained on comprehensive datasets of publicly available regulatory filings and securely incorporating corporate private project documents for unmatched efficiency.
This project will initially focus on two major areas of functionality to demonstrate both the power of a single, smart searchable repository of all major project public regulatory filing documents and the power to summarize, analyze, explain, selected documents within the document repository.
Required Skills / Expertise
Are you passionate about building great solutions? Do you want to drive a high impact early-stage business? 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 in LLMs and applied NLP.
Key Responsibilities:
- Design, implement, and optimize ML algorithms for predictive modeling, Natural Language Processing (NLP), and Computer Vision
- Build, train, and evaluate ML models for LLM applications
- Identify, prepare, and optimize large datasets for ML training
- Leverage Open AI tools and APIs for ML tasks
- Undertake applied research on ML techniques to address the limitations in existing models
- Collaborate with project team and stakeholders to develop MVP and client focused solutions
- Participate in regular meetings with the client, preparing presentations and reports
- Develop Data and ML workflows
- Optimize ML pipelines for efficiency, scalability, and real-time processing
- Completion of a graduate level program or higher (M.Sc/Ph.D) in Computing Science, ML or Engineering
- Research or project experience in Natural Language Processing
- Previous experience with LLM use-cases
- Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, Keras, Tensorflow, Py Torch, Pandas, Jupyter notebooks, Transformers, Deep Speed, Hugging Face Datasets)
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada
- Previous experience applying machine learning in NLP, LLMs, and Generative AI projects
- Hands-on experience in AI/ML development projects
- Familiarity with Open AI technologies (e.g., GPT, DALL-E, Codex) to augment LLM capabilities
- Statistical analysis and hypothesis testing
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning
- 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
- Able to communicate technical concepts clearly and advise on the application of machine intelligence
- Intellectual curiosity and the desire to learn new things, techniques, and technologies
- Industry experience in energy, project engineering, environmental or legal studies will be considered an asset.
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
- Build your professional network
- The opportunity for a ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)
One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
How to Apply
If this sounds like the opportunity you've been waiting for, please don’t wait for the closing November 11, 2024 to apply - we’re excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! This position will start on January 6, 2025. When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application.
Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.
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