AI2 Applied Machine Learning Scientist (Graduate)

Associate Program

Role Responsibilities

• Apply advanced machine learning methods to conduct data-driven research and make recommendations to senior management.
• Collaborate with business partners to identify process optimization opportunities and build innovative solutions.
• Prepare structured and unstructured data through integration, cleaning, feature engineering, scaling, and transformation.
• Build production-scale solutions and integrate them into business operations with deployment teams.
• Use visualization methods to communicate results to technical and non-technical audiences.

Job Requirements

• Graduate between May 2025 and December 2026 with a graduate degree in Mathematics, Statistics, Computer Science, Engineering, Data Analytics, or a related field.
• Demonstrate strong statistical and analytical skills and experience analyzing large data sets.
• Have experience in one or more big data, machine learning, software engineering, or analytics areas.
• Have technical knowledge and experience with one or more of Python, R, Spark, SQL, SAS, Java, or C/C++.
• Demonstrate initiative, prioritization, communication, analytical, problem-solving, and leadership skills.
• Work effectively as part of a team with targeted deliverables and remain current with emerging data science trends.

Pay Details

• The stated pay range is 105000 to 105000 CAD; the source does not specify a compensation cadence.

Schedule

• The listed hours are 37.5.

Work Location

• The role is located in Toronto, Ontario, Canada.
• Employees must reside in the country where the role is located, irrespective of remote working arrangements.

Application Information

• The application deadline is September 25, 2026, with an anticipated start date of January 4, 2027, pending academic completion.
• Applications must include a transcript, a cover letter of one letter-sized page or less, and a resume of no more than two pages.