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Associate Machine Learning Scientist

Alberta Machine Intelligence Institute
Edmonton, AB
Temporarily remote
Full-time, Fixed term contract

Location

Edmonton, AB

Benefits
Pulled from the full job description

  • Casual dress
  • Extended health care
  • Flexible schedule
  • Paid time off

Full job description

Want to be part of a team solving one of the most unique real-world challenges in using Computer Vision? - join our team

Are you passionate about solving real-world problems with the state of the art research methods? Do you want to be a part of the team of research scientists, machine learning scientists and Amii researchers? Are you driven to navigate complex problems and find the right solutions? Then this is the right opportunity for you.

“As an Associate Machine Learning Scientist, I was exposed to several industry machine learning problems that helped me to broaden my knowledge on different domains and work on applying ML to the problems. Every project includes a research component, as well! The best part of working at Amii is the opportunity to work with world-renowned researchers who ensure that we apply cutting-edge research through their guidance. I also took advantage of the many professional developments available to me.”

  • Jubair Sheikh, Associate Machine Learning Scientist, Advanced Technology

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About Amii
One of Canada’s three main institutes for artificial intelligence (AI) and machine learning (ML), 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.

Job Description
The Associate Machine Learning Scientist (AMLS) serves as a critical member of the Advanced Technology 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 two 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)

This role will report to the Product Lead of the Advanced Technology team.
What you’ll do

  • Define ML problems, propose and investigate novel approaches to those problems
  • Research, critically analyze and implement (build, train, evaluate and maintain) ML solutions
  • Prototype ideas from the research papers
  • Collaborate in cross-functional teams to prototype new concepts, lead and deliver end-to-end systems from design to execution
  • Formulate, execute and communicate plans for delivering high-quality and continuously integrated machine learning models
  • Produce high-quality code with excellent reliability and scalability
  • Build, automate and maintain machine learning pipelines

Required Qualifications

  • Graduate degree in Machine Learning/Computer Vision or related field or with equivalent experience
  • Practical experience working with deep learning techniques such as generative adversarial networks and convolution neural networks for image/video generation and object construction
  • 1+ years of experience with deep learning frameworks for computer vision tasks
  • 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
  • Must be legally eligible to work in Canada

Preferred Qualifications

  • Publication record in peer-reviewed academic conferences or relevant journals in the field of computer vision
  • Theoretical knowledge and practical experience with advanced statistical and machine learning analysis techniques
  • Up-to-date knowledge within their particular specialties and willingness to learn new technologies

Attributes and 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 learning appropriately
  • Flexibility and willingness to adapt, including working with disparate data, skill levels, and client needs

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.

If this sounds like the opportunity you've been waiting for, don’t wait to apply! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii.

Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.
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Applicants must be legally eligible to work in Canada at the time of application

Contract length: 12 months

Application deadline: 2021-08-13

Expected start date: 2021-09-07

Job Types: Full-time, Temporary

Benefits:

  • Casual dress
  • Extended health care
  • Flexible schedule

Schedule:

  • Monday to Friday

Application question(s):

  • Can you confirm that you are legally eligible to work in Canada?
  • Can you confirm that you have attached a cover letter with your application?

Work remotely:

  • Temporarily due to COVID-19