Now Hiring: Machine Learning Scientist

Join our team! We are looking for a full-time Machine Learning Scientist.

Role Summary

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

The Machine Learning Scientist (MLS) 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 fundamental ML techniques, providing scientific oversight on technical projects. They advise clients on the scoping and definition of machine learning projects and coach companies through the iterative stages of the Machine Learning Process Lifecycle (MLPL). This includes making informed decisions about what the data requirements are, what modeling techniques should be tested, what technical resources need to be onboarded, when more background research is required, and how success will be evaluated.

In addition to providing guidance to industry partners, 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.

Scientists empower 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.

The role focuses on achieving excellence in three main accountabilities:

• Research (supporting advancement of ML research)
• Industry Engagement (working with Amii clients to advance their ML projects and capabilities)
• Stakeholder satisfaction (supporting Amii staff as subject matter experts)

Qualifications

• Graduate degree in Machine Learning or related field with equivalent experience in Machine Learning
• Ideally 2 or more years experience developing, training, and evaluating machine learning models in an applied setting.
• Proficient in at least one programming language eg: Python, Java, C++ or R
• Able to work in CoLab or Jupyter notebooks, comfortable with Python, scikit-learn, and pandas.
• Publication record in peer-reviewed academic conferences or relevant journals
• 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
• Industry experience in agriculture, health, or energy a plus

Attributes & Expectations

• Critical and independent thought
• Collegiality and willingness to listen to feedback and support team mates
• 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
• Active participation in the research community: publishing research, serving as research reviewers, supporting Amii students, speaking or teaching within their area of expertise.
• Comfortable taking a leadership role with Amii clients, providing scientific expertise and mentorship for clients’ internal teams
• Other duties which may be assigned from time to time by management.

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 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, then please don’t wait to apply, as we need you for this project right away! To apply, please send your resume and cover letter indicating why you think you'd be a fit for Amii through the listing on Indeed by December 31, 2020.

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