Now Hiring: Associate Machine Learning Scientist - Startups

Amii is thrilled to add an Associate Machine Learning Scientist (AMLS) to our Team! We work directly with startups who are eager to implement machine learning into their businesses to create disruptive change and we are looking for an individual that can provide the scientific advice needed to make it happen.

This is an incredible opportunity to have a front-row seat to see technology adoption in action and uncover the potential that AI holds. Our clients will entrust you with the guidance and direction of their innovative projects, and we are looking for someone who will share their level of ambition.

We're looking for a driven candidate who will lead client engagements and has expertise in applying machine learning in industry. You’re likely our ideal candidate if you:

• Enjoy guiding client teams to create real-world ML solutions
• Excel at translating technical concepts to non-technical audiences
• Want to have an opportunity to do cutting edge AI/ML research

You will work alongside a team of accomplished individuals who are passionate about supporting startups and driving AI adoption forward. Be a part of a hard-working team that values culture and likes to have fun. If you’re interested in being part of the organization that unlocks this opportunity in Alberta, we would love to hear from you.

-- Adam Danyleyko, Product Owner Startups

Job Purpose and Accountabilities

The Associate Machine Learning Scientist (AMLS) serves as a critical member of the Startup 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, with a focus on startups. They bridge the gap between business opportunities and ML techniques, providing scientific oversight on technical projects. This is done in both group presentations and individual consultations with clients. They will work with Amii’s industrial partners 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 clients to advance their ML projects and capabilities
• Stakeholder satisfaction: supporting Amii staff as subject matter experts
• Research: supporting the advancement of ML research
• This role will report to the Lead Machine Learning Scientist Startups.

Qualifications

• Graduate degree in Machine Learning or related field with equivalent experience in Machine Learning
• 2 or more years of experience developing, training, and evaluating machine learning models in an applied setting is considered an asset
• Ability to communicate on technical topics with a non-technical audience
• General understanding of the strengths and weaknesses of a range of ML techniques
• Able to work in CoLab or Jupyter notebooks, comfortable with Python, scikit-learn, and pandas.
• Ability to understand research papers in ML and translate them into working models
• supervised learning, unsupervised learning, and reinforcement learning
• Up-to-date knowledge within their particular specialties
• Industry experience in startups is a plus
• Publication record in peer-reviewed academic conferences or relevant journals
• Proficient in at least one programming language eg: Python, Java, C++ or R

Attributes & Expectations

• Critical and independent thought
• 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

Besides gaining industry experience, additional perks include:

• 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 flexible health benefits.
• A modern office located in downtown Edmonton, Alberta.

How to Apply

If this sounds like the opportunity you've been waiting for, don’t wait for the closing date 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.

Send your resume and cover letter indicating why you think you'd be a fit for Amii by May 31 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.