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Entry Level Ai Computer Science Jobs in Toronto, ON

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Machine Learning Engineer - Enterprise

Toronto, ON · On-site

CA$150K - CA$400K/yr

Integrate individual AI components into a scalable platform. Qualifications * Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative ...

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

  • Medical

  • Life

  • Retirement

... AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics ... D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ...

Vice President, Data Scientist

Toronto, ON · On-site

CA$120K - CA$150K/yr

  • Medical

  • Life

  • Retirement

... AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics ... D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ...

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Bachelor's degree in computer science with a specific focus on artificial intelligence and machine learning. Master's degree preferred in Management of AI technologies. * Minimum of 3 years of ...

A PhD or master's degree or equivalent in machine learning, computer science, artificial ... AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

Showing results 41-60

Entry Level Ai Computer Science information

What is an entry level AI computer science job?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What do entry level AI computer science professionals do?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Entry Level Ai Computer Science jobs in Toronto, ON?

For Entry Level Ai Computer Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Computer Science jobs in Toronto, ON look for?

The top searched job categories for Entry Level Ai Computer Science jobs in Toronto, ON are:

Infographic showing various Entry Level Ai Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution.

HVAC Digital Design & AI Applications Developer

Salas O'Brien Canada Inc.

Toronto, ON

CA$75K - CA$90K/yr

Full-time

Re-posted 14 days ago


Job description

HVAC Digital Design & AI Applications Developer

Job Summary:

We are seeking a Mechanical Engineering graduate with a strong background in Information Technology to support the digital transformation of HVAC consulting engineering design. This role combines mechanical engineering principles, Building Information Modeling (BIM), software development, and Artificial Intelligence (AI) to improve the efficiency, quality, and automation of HVAC system design and documentation.

In this role you will: work closely with HVAC engineers, BIM specialists to create and maintain Revit-based tools, automate engineering workflows, develop AI-powered design assistants, and enhance data-driven decision-making throughout the building design process.

This role is suited to an early-career engineer interested in combining mechanical engineering, BIM technology, and AI development to help Salas O’Brien Canada deliver smarter, faster, and more efficient building design solutions.

Key Responsibilities

  • Develop and maintain custom applications, add-ins, and automation tools for Autodesk Revit using C#, .NET, Python, and the Revit API.
  • Support HVAC engineers in creating BIM workflows for mechanical building systems including heating, ventilation, air conditioning, and plumbing.
  • Design and implement AI solutions to assist with HVAC load calculations, equipment selection, clash detection, code compliance reviews, and design optimization.
  • Develop scripts and automation routines using Dynamo, Python, and related BIM technologies.
  • Create data pipelines that integrate Revit models with engineering databases, cloud platforms, and AI applications.
  • Analyze engineering design data to identify opportunities for process improvement and automation.
  • Collaborate with multidisciplinary engineering teams to understand workflow challenges and develop digital solutions.
  • Prepare technical documentation, user guides, and training materials for internally developed tools.
  • Stay current with emerging technologies in BIM, AI, cloud computing, and building systems engineering.

Required Skills/abilities:

  • Bachelor’s degree in Mechanical Engineering.
  • Additional degree, diploma, or significant coursework in Information Technology, Computer Science, Software Engineering, or a related field.
  • Understanding of HVAC systems and building services engineering fundamentals.
  • Knowledge of Autodesk Revit and BIM workflows.
  • Programming experience in Python, C#, JavaScript, or similar languages.
  • Familiarity with databases, APIs, and software development principles.
  • Analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Innovative thinking skills
  • Teamwork and Team collaboration
  • Relationship building
  • Cooperative mindset

Preferred Qualifications

  • 1 – 2 years of industry experience.
  • Experience with Revit API, Dynamo, Autodesk Platform Services (APS), or BIM automation.
  • Understanding of generative AI, or data analytics.
  • Familiar with HVAC design software such as Carrier HAP, Trane TRACE 3D Plus, or energy modeling platforms.

Key Skills

  • HVAC Engineering Fundamentals
  • Building Information Modeling (BIM)
  • Autodesk Revit & Revit API
  • Dynamo and Python Scripting
  • C#/.NET Development
  • Artificial Intelligence & Machine Learning
  • Data Analytics and Visualization
  • Cloud Computing
  • Software Integration
  • Engineering Process Automation

Location: Toronto, Ontario, Canada – In-office position

Travel: Little to no travel required.

Compensation: Annual salary range: $75,000.00 - $90,000.00 CAD commensurate with experience.

Vacancy Status: This posting is for a new vacancy.

Equal Opportunity Employment Statement

Salas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law.

About Us:

Founded in 1975, Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team, and the world. We know that tomorrow’s requirements are today’s opportunities, and we are here to design lasting solutions for pressing challenges.

We work across a variety of industries providing integrated engineering and consulting services. Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more.

Artificial Intelligence Disclosure

Applications are processed through an applicant tracking system that may or may not use automated screening questions to help identify qualified candidates. All applications are also reviewed by our hiring team.

Third-Party Agency Notice

Salas O’Brien does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners engaged directly by our Talent Acquisition team for specific searches. Unsolicited submissions will not be eligible for placement fees.