Now Hiring: Associate Machine Learning Scientist

"As Machine Learning Scientists within the Advanced Technology team, we operate at the intersection of fundamental and applied machine learning. We strive to discover the right approach to a problem and creatively combine various algorithms (or invent new ones when necessary) to solve challenges in collaboration with our clients and partners. It is an amazing challenge and a privilege to build bridges between different domains, learn from and work with a diverse group of scientists, engineers, and business professionals to solve complex problems having a large and direct impact in the world."

-- Payam Mousavi, Lead Machine Learning Scientist, Advanced Technology

"As a Fellow-in-Residence, I'm able to help Amii bring machine learning out of the academic lab and into the hands of companies. I really enjoy helping organizations define high-impact problems that ML can address and then assist them along with the research, deployment, and lifecycle stages. I personally take pride in being able to point at something we have helped with and know that we helped our partner successfully improve their business process and made them more competitive."

-- Matt Taylor, Fellow-in-Residence, Amii and Associate Professor, Department of Computing Science, University of Alberta

Job Description

The Associate Machine Learning Scientist (AMLS) serves as a key member of the team and an active participant in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.

The AMLS uses their scientific knowledge and applied research experience to direct the research and development efforts of Amii Industry Partners and Clients. They bridge the gap between business opportunities and ML techniques, providing scientific oversight on technical projects. They will work with Amii’s industrial partner on defining and refining machine learning projects and deliver on the project through iterative stages of the Machine Learning Process Lifecycle (MLPL). This includes making informed decisions about data requirements, literature surveys on potential methodologies, advanced modelling techniques and evaluation.

They will work closely with the rest of the team, including researchers, research scientists and lead scientists and collaborate to find innovative solutions to the business problem. They will support Amii's internal teams as subject matter experts based on their technical specialties and applied Machine Learning experience.

The role focuses on achieving excellence in three main accountabilities:

  • Industry Engagement -working with Amii industrial partners to advance their ML projects and capabilities
  • Stakeholder satisfaction - supporting Amii staff as subject matter experts
  • Research: supporting the advancement of ML research

What you’ll do

  • Work alongside the Amii team and industry partners to develop AI & ML-based models
  • Research, critically analyze and implement (build, train, evaluate and maintain) ML solutions
  • Participate in all aspects of the optimization process ranging from data collection, simulation, training, validation, testing and subsequently the deployment of the algorithms
  • Collaborate in cross-functional teams to prototype new concepts, lead and deliver end-to-end systems from design to execution
  • Explore, wrangle, process and model large datasets
  • Produce high-quality code with excellent reliability and scalability
  • Build, automate and maintain machine learning pipelines
  • Communicate to all stakeholders regarding the approaches and the reasoning

Required Qualifications

  • Graduate degree in Machine Learning, Optimization, Mathematics or related field, with a focus on forecasting models, optimization or reinforcement learning
  • Strong knowledge and hands-on experience with developing deep learning models for regression and classification of temporal data
  • Proficient in Python and related ML libraries (PyTorch, Tensorflow, Keras, etc.)
  • Experience working with various stages of a machine learning process lifecycle
  • Ability to document and communicate complex technical topics to technical and non-technical stakeholders
  • General understanding of the strengths and weaknesses of a range of ML techniques across different areas in machine learning
  • Must be legally eligible to work in Canada

Preferred Qualifications

  • Previous experience with Operations Research, Reinforcement Learning, Simulations
  • Experience working in the supply chain domain, inventory management or logistics is an asset
  • Knowledge of relational databases
  • Theoretical knowledge and practical experience with advanced statistical and machine learning analysis techniques
  • Publication record in peer-reviewed academic conferences or relevant journals

Attributes and Expectations

  • Critical and independent thinking
  • Collegiality and willingness to listen to feedback and support teammates
  • Intellectual curiosity and the desire to learn new things, techniques, and technologies
  • Able to work independently and make informed decisions while collaborating with staff and subject matter experts when appropriate
  • Able to identify gaps in knowledge and triage their own learning appropriately
  • Flexibility and willingness to adapt, including working with disparate data, skill levels, and client needs

About Amii

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.

What you'll love about us

  • A professional yet casual work environment that encourages the growth and development of your skills.
  • A chance to learn from amazing teammates who support one another to succeed.
  • Competitive compensation, including paid time off and health benefits.
  • A modern office located in downtown Edmonton, Alberta.

How to Apply

If this sounds like the opportunity you've been waiting for, please don’t wait for the closing date to apply!

When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii by December 17 through the Indeed listing. In your cover letter, please include one professional accomplishment you are most proud of and why.

Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.

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