Job Description

The Machine Learning Co-Op student is part of the AI Innovation team which specializes in building AI based solutions enabling both new vehicle features, and operational efficiency applications.

The role is suitable for individuals with a curiosity and initiative for deriving insights from data, and generating impactful business values! You will work in partnership with global teams in driving innovation and advanced analytics across the company. Also, you will be contributing to the end-to-end process of developing AI solutions from gathering data requirements, and building data processing pipelines to finding the best approaches to the problem and developing the AI models.

Thisposition provides access to rich in-vehicle and business operations data. Furthermore, a chance to contribute in a diverse set of vehicle feature development and business operations optimization projects involving a mix of data analytics based approaches as well as state of the art DNNs!

Key Responsibilities:

• Work in a fast-paced agile environment to develop and deliver advanced analytics solutions
  
• Implement a diverse set of techniques such as Statistics, Machine Learning, and other AI algorithms to push solutions with the best quality and highest performance
  
• Work in collaboration with IT to deploy model and algorithms in a production environment

Additional

Qualifications:

• Pursuit of a Bachelor's (3rd or 4th year), Master's, or PhD degree in the following areas: Computer Science, Computer Engineering, Robotics, Electrical Engineering, Statistics, Mathematics, Data Analytics
  
• Eligible to work full-time (40 hours per week) in Canada and for 8, 12, or 16-month term (2-4 consecutive semesters) starting September 2022
  
• Foundation and experience with Statistics, Probability, and Machine learning
  
• Familiarity with supervised, semi-supervised, and unsupervised ML methods
  
• Exposure in applying AI to one or more domains: Computer Vision, Natural language processing, Robotics, Operations research
  
• Solid experience with Python
  
• The successful candidate will be required to attest to, and be prepared to provide proof of, their vaccination status and that any job offer will be conditional on the candidate being fully vaccinated

Preferred Qualifications:

• Experience with Tensorflow, PyTorch, and/or Scikit-Learn
  
• Experience with data tools and ecosystems (Hive, Spark, etc)
  
• Experience using Power BI, Tableau, and/or other visualization tools
  
• Experience using SQL/NoSQL and knowledge in database management
  
• Experience with UNIX tools and shell scripting
  
• Experience with embedded and mobile applications
  
• A valid Class G Ontario Driver's Licence, or equivalent out-of-province licence

Desired Skills:

• Outstanding leadership, interpersonal, and relationship management skills with the ability to effectively collaborate with varying levels of the organization
  
• Excellent written and verbal communication skills with the ability to distill complex subjects to a wider audience
  
• High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
  
• Evidence of strong character with integrity, honesty, accountability and trust
  
• Consistently demonstrates innovative thinking that is customer-centric
  
• Excellent project management skills and the proven track record to manage numerous projects at any given
  
• Possess strong organizational, problem-solving, and analytical skills
  
• Fundamental digital literacy including understanding of MS Outlook, Word, Excel, and PowerPoint

This role offers the following Work Appropriately strategies:

• Hybrid: The position does not require an employee to be on-site full-time to perform most effectively. The employee's role enables them to work a GM facility, or off-site as frequently as needed or desired.

PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteeropportunities.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statement

Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada, please advise if you require accommodation. General Motors of Canada values diversity and is an equal opportunity employer.