Job Description

\xe2\x80\x9cAmii is thrilled to add a Machine Learning Scientist (MLS) to our Startup Team! On the Startup team we work directly with startups who have deployed machine learning or 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 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\xe2\x80\x99re interested in being part of the organization that unlocks this opportunity in Alberta, we would love to hear from you.\xe2\x80\x9d - Adam Danyleyko - Product Owner, Startups
About the Role The Machine Learning Scientist (MLS) serves as a key member of the Startup Team and an active participant in maintaining Amii\'s reputation for scientific excellence and providing insight across various client types and sizes as well as Machine Learning specializations that range from data analysis to supervised learning to reinforcement learning to using large language models and everything in between.
The MLS uses their broad scientific knowledge, research experience, and applied machine learning experience to support startup clients as they work to build and grow their machine learning expertise and competencies.
The MLS drives success metrics for the Level Up Program (Amii\xe2\x80\x99s Startup Chief Technology Officer Coaching Program) where they provide coaching to Startups, who have deployed machine learning, on their ongoing artificial intelligence and machine learning projects and products. They know how to ask the right questions to dig into a problem and fully flush out a client\'s challenge, current state, and ideal future state while bringing their machine-learning expertise to the coaching sessions to provide insights and advice to the clients all without ever getting into the code. They know when they are the right person to help a client and when they need to bring in other expertise from across the Amii community of staff scientists, fellows, researchers, and students to best support each client\'s specific needs.
The MLS bridges the gap between business opportunities and fundamental ML techniques, providing scientific insight into technical projects. This includes making informed recommendations about when more background research is required, what the data requirements may be, what modelling techniques should be tested, and what technical resources may be needed.
The MLS is also responsible for providing mentorship to technical and non-technical peers, as well as Work integrated Learning Opportunity students (WILOs).
In addition to providing guidance to industry partners and talent, the MLS will support fundamental research through partnerships with Amii Fellows and their students, working with one of the best ML departments in the world.
The MLS empowers Amii clients with the knowledge and skills they need to advance on the AI Adoption Spectrum by applying their unique combination of research and industry experience. They support Amii\'s internal teams as subject matter experts based on their technical specialties and applied Machine Learning experience.
Required Skills / Expertise Key Responsibilities: 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

Required 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 industrial setting
• Applied research or industry experience at the intersection of machine learning and a relevant domain
• Proficient in at least one programming language eg: Python, Java, C++ or R
• Able to work with Jupyter notebooks style environments, comfortable with Python-based ML and Deep Learning frameworks (e.g. Scikit-learn, Tensorflow, Keras, Pytorch, Transformers, and pandas).
• Ability to communicate on technical topics with a non-technical audience
• General understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
• Up-to-date knowledge within their particular specialties

Preferred Qualifications:

• Publication record in peer-reviewed academic conferences or relevant journals
• Experience working at a startup or with startups is a plus

Attributes and Expectations:

• You are a natural communicator & coach and have a passion for supporting others to learn and grow
• You are naturally curious and value intellectual curiosity and the desire to learn new things, techniques, and technologies
• You are comfortable communicating when you don\xe2\x80\x99t know something but know how to find the answer
• You are passionate about startups and participate in startup and tech community events in Alberta and in Canada

What you\'ll love about us

• A professional yet casual work environment that encourages the growth and development of your skills.
• Participate in professional development activities
• Gain access to the Amii community and events

• 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.

About Amii One of Canada\xe2\x80\x99s 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\xe2\x80\x99s 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\xe2\x80\x99t wait for the closing June 19, 2023 to apply - we\xe2\x80\x99re 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! 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\xe2\x80\x99t be used in the selection process.