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Entry Level Deep Learning Jobs in Toronto, ON (NOW HIRING)

Deloitte

Junior Software Engineer

Toronto, ON · Hybrid

CA$58K - CA$96K/yr

This is an entry-level, hands-on role focused on learning, building, and contributing to team ... deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty ...

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All JobsDeep Learning JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in Toronto, ON

Entry Level Deep Learning information

See Toronto, ON salary details

$19.6K

$85.1K

$187.5K

How much do entry level deep learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for entry level deep learning in Toronto, ON is $85,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,264.00 and $141,719.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially in senior or executive roles at large tech companies. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

Can I get an AI job with no experience?

Entry level deep learning positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python and TensorFlow. While prior experience is helpful, candidates can improve their chances by completing relevant online courses, building projects, and gaining certifications to demonstrate their skills to employers.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

Which 3 jobs will survive AI?

Entry Level Deep Learning roles are likely to persist in fields requiring complex problem-solving, creativity, and domain expertise, such as AI research, data science, and machine learning engineering. These jobs involve tasks that are difficult to automate fully and often require specialized skills, programming knowledge, and continuous learning to adapt to evolving technologies.

What are some common challenges faced by entry-level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What are the key skills and qualifications needed to thrive as an Entry Level Deep Learning professional, and why are they important?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Entry-level roles in deep learning generally do not reach this salary level, which is reserved for experienced professionals with significant expertise and responsibilities.
What are popular job titles related to Entry Level Deep Learning jobs in Toronto, ON? For Entry Level Deep Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Deep Learning jobs in Toronto, ON look for? The top searched job categories for Entry Level Deep Learning jobs in Toronto, ON are:
Entry Level Deep Learning jobs near you
Junior Software Engineer

Junior Software Engineer

Deloitte

Toronto, ON • Hybrid

CA$58K - CA$96K/yr

Full-time

Life, PTO

Posted 3 days ago

New

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

Job Type: Permanent 
Work Model: Hybrid 
Reference code: 133892   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--
What will your typical day look like?

We’re looking for a Junior Software Engineer to support the development of scalable applications and services.
This is an entry-level, hands-on role focused on learning, building, and contributing to team delivery. The role emphasizes strong coding fundamentals, development best practices, and exposure to modern tools and AIassisted workflows.

About the team

Frontier Engineering is a specialized innovation and delivery acceleration team focused on transforming
architecture and business requirements into working solutions using generative AI and modern engineering
practices.
The team leads the initial build phase of strategic initiatives, rapidly developing prototypes, proof-of-concepts, and production-ready foundations while embedding best practices for agentic development, AI-assisted software engineering, automation, security, and quality. By establishing reusable patterns, reference implementations, and delivery accelerators, Frontier Engineering enables delivery teams to scale solutions faster, reduce risk, and maximize the value of AI-driven development.

Enough about us, let’s talk about you

Key Responsibilities
• Develop and maintain features under guidance from senior engineers
• Write clean, readable, and testable code
• Assist in building APIs, services, and frontend components
• Participate in debugging, testing, and troubleshooting issues
• Learn and apply development best practices and coding standards
• Collaborate with team members during design and implementation
• Use AI tools and modern development workflows to improve productivity
• Contribute to documentation and technical artifacts as needed
Required Experience
• 2+ years of software development experience
• Understanding of programming concepts and data structures
• Exposure to full-stack technologies
• Exposure to cloud platforms or modern development tools
• Familiarity with at least one programming language (e.g., Typescript, .NET with SQL, etc.)
• Exposure to web development fundamentals (frontend, backend, APIs)
• Basic understanding of version control (e.g., Git)
• Strong willingness to learn and adapt
• Familiarity with APIs or basic integration concepts
• Experience using AI tools (e.g., GitHub Copilot, ChatGPT) in development
• Strong communication and collaboration skills

Total Rewards


The salary range for this position is $58,000 - $96,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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