Now Hiring: Associate Machine Learning Scientist

We’re looking for a talented and enthusiastic Associate Machine Learning Scientist for a full-time, 1 year term opportunity for one of our clients. We’re looking for a potential candidate who is available to start on November 1, 2021.

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.

Job Description

If you are interested in applying your machine learning skills to real-world problems in the energy industry, this is the right opportunity for you. You’re likely our ideal candidate if you:

• Desire to take ownership of a problem
• Are self-motivated and thrive in an ambiguous environment
• Can translate technical concepts to non-technical audiences

Be a part of a hard-working team that values culture and likes to have fun, and get mentored by some of the best minds in AI. If you’re interested in being part of the organization that unlocks this opportunity in Alberta, we would love to hear from you.

About the Project

This position will offer the successful candidate broad business exposure to all facets of the Oil & Gas business, at a leading-edge company where technology is used to drive efficiency. The primary responsibility of this position is to help build machine learning solutions using cloud technologies to eventually help in our data driven business decisions.

You will be employed by Amii and work exclusively on our client’s project for a fixed term of one year. The Associate will report to an Amii Lead Scientist and work closely with our client to collaborate on the project. The Associate will regularly consult with the project team to share insights, progress, and results. There is the potential for permanent employment afterward, at our client’s organization (at their discretion).

This is an exciting opportunity to work with an established energy company and be part of a growing team focused on implementing machine learning into their workflows.

About Our Client

At ARC we are advancing our analytic capabilities by applying artificial intelligence and machine learning techniques to help optimize the Operational aspects of our business. This includes partnering with our Geoscience, Drilling, Completions, Engineering and Field teams to leverage AI/ML to augment, advise and use prediction to improve multidisciplinary business processes, provide mechanisms for faster decision making and help find efficiencies in our technical operations teams to drive business value.

Required Skills / Expertise

We’re looking for a talented and enthusiastic individual with solid knowledge of machine learning and experience working with time-series data and explainability.

Key Responsibilities:

• Clean and curate historical datasets
• Perform exploratory data analysis
• Build, train, and evaluate ML models
• Develop Data and ML workflows
• Undertake applied research on ML techniques to address the limitations in existing models
• Collaborate with project team and stakeholders to develop MVP

Required Qualifications:

• Completion of a Computing Science or ML graduate program, MSc. or Ph.D
• Research or project experience with time-series data, model explainability, or causal inference
• Solid understanding and experience in applications of deep learning techniques such as sequence models (RNN, Transformers, etc.) or multi task learning
• Experience/familiarity with software engineering best practices
• Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, Keras, Tensorflow, Pandas, Jupyter notebooks)
• A positive attitude towards learning and understanding a new applied domain
• Must be legally eligible to work in Canada

Preferred Qualifications:

• Familiarity with the oil and gas industry
• Publication record in peer-reviewed academic conferences or relevant journals in machine learning

Non-Technical Requirements:

• Desire to take ownership of a problem and demonstrated leadership skills
• Interdisciplinary team player enthusiastic about working together to achieve excellence
• Capable of critical and independent thought
• Able to communicate technical concepts clearly and advise on the application of machine intelligence
• Intellectual curiosity and the desire to learn new things, techniques, and technologies

Why You Should Apply

Besides gaining industry experience, additional perks include:

• Work under the mentorship of an Amii Lead Scientist for the duration of the project
• Participate in professional development activities
• Gain access to the Amii community and events
• Build your professional network
• The opportunity for a permanent machine learning role at the client’s organization at the end of the term (at the client’s discretion)

If this sounds like the opportunity you've been waiting for, then please don’t wait to apply! 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 October 8, 2021.

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