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Phd Machine Learning Jobs in Ontario (NOW HIRING)

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or ... Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms ...

... of machine learning solutions, from data acquisition and feature engineering through ... Advanced degree (Master's or PhD preferred) in Data Science, ML, or related field Extensive ...

Bonus: * PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field * Expertise in machine learning methods including Time series analysis ...

General familiarity with GPUs or other accelerator devices and their role in high-performance computing and machine learning workloads. Preferred Skills and Experience * Master's or PhD in Computer ...

Research Scientist, Learnable Planner

Toronto, ON ยท On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine Learning, or related fields. * 2+ years of NLP industry experience for Master's degree holders or 1+ years ...

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Data-centric AI, Reinforcement Learning or ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Showing results 41-60

Phd Machine Learning information

See Ontario salary details

$22K

$119K

$214.5K

How much do phd machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for phd machine learning in Ontario is $119,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $159,000.00 per year, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

Infographic showing various Phd Machine Learning job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,007 per year, or $57.2 per hour.

Data Scientist, Tax Transformation Office

BDO Canada

Toronto, ON โ€ข On-site

Full-time

PTO

Re-posted 4 days ago


Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

We are seeking a highly skilled and business-oriented Data Scientist to join the Tax R&D Lab within the Tax Transformation Office and help shape the future of how Tax operates across the practice.

The Tax R&D Lab serves as the experimentation, innovation, and solution development engine supporting the broader Tax Transformation roadmap and Total Tax Ecosystem vision. Working alongside other functions within the Tax Transformation Office - including Transformation Relationship Management (TRM), Data & Analytics, and Innovation & Change (I&C) - this role will help identify, prototype, build, and scale intelligent solutions that modernize workflows, improve operational efficiency, and enhance client outcomes across Tax.

This is a net new role that will focus on applying data science, artificial intelligence, machine learning, and advanced analytics to solve complex business problems, modernize workflows, and unlock new opportunities across the practice.

This is not a traditional reporting or analytics role. We are looking for someone who can combine deep technical expertise with strong business understanding, innovation mindset, and practical execution capability.

Key Responsibilities:

AI, Machine Learning & Advanced Analytics

  • Design, build, train, and optimize machine learning and AI models to support Tax transformation initiatives

  • Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics, and automation capabilities

  • Support experimentation and prototyping of emerging AI technologies and use cases within Tax

  • Evaluate model performance, explainability, reliability, and responsible AI considerations

  • Contribute to development of scalable AI-enabled workflows and intelligent operational solutions

Cross-Functional Collaboration & Business Partnership

  • Partner closely with Transformation Relationship Managers (TRMs), Tax practitioners, Innovation & Change (I&C), Data & Analytics, and leadership teams

  • Contribute to multidisciplinary teams focused on solving business problems through technology, AI, automation, and workflow redesign

  • Support rapid experimentation, prototyping, and scaling of innovative solutions within the Tax R&D Lab

  • Help bridge strategy, business operations, and technical execution to accelerate transformation outcomes

  • Translate complex business problems into practical analytical and AI-driven solutions

  • Participate in discovery sessions, design thinking workshops, ideation activities, and working groups

Data Engineering & Platform Enablement

  • Collect, clean, transform, and analyze large and complex datasets from multiple sources

  • Build and maintain scalable data pipelines and model integration frameworks

  • Support connected data and intelligence capabilities aligned to the broader Total Tax Ecosystem strategy

  • Work with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalization

  • Collaborate with engineering teams to productionize and operationalize solutions

Innovation & R&D Collaboration

  • Work closely with the Tax R&D Lab to validate concepts, prototype solutions, and scale successful initiatives

  • Stay informed on emerging trends across AI, automation, tax technology, data science, and intelligent systems

  • Help evaluate external tools, platforms, and ecosystem opportunities relevant to Tax Transformation

  • Contribute to a culture of experimentation, innovation, and continuous improvement

Qualifications & Experience

  • Master's degree or PhD in Computer Science, Data Science, Machine Learning, AI, or related quantitative discipline preferred

  • 3+ years of experience building and deploying machine learning or AI solutions in production environments

  • Strong proficiency in Python and modern data science libraries including Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch

  • Experience with NLP, generative AI, LLMs, vector databases, embeddings, or knowledge graph technologies preferred

  • Experience with SQL and NoSQL databases and scalable data architectures

  • Familiarity with cloud platforms such as Azure, AWS, or GCP

  • Experience with MLOps, model deployment, APIs, and scalable AI infrastructure considered an asset

  • Strong communication skills with ability to explain technical concepts to non-technical stakeholders

  • Experience working in transformation, consulting, innovation, or business-facing environments considered an asset

Ideal Candidate Will Have

  • Strong business curiosity and problem-solving mindset

  • Passion for applying AI and data science to practical operational challenges

  • Ability to balance experimentation with scalable execution

  • Strong collaboration and stakeholder engagement skills

  • Interest in workflow modernization, intelligent automation, and future-state operating models

  • Comfort operating in fast-paced and evolving transformation environments

  • Passion for continuous learning and emerging technologies

Why Join the Tax Transformation Office?

You will help shape the future of Tax through AI-enabled transformation and intelligent modernization initiatives that directly impact how the business operates.

This role offers exposure to:

  • Enterprise AI and transformation initiatives

  • Emerging technologies and advanced analytics

  • Workflow modernization and intelligent automation

  • Cross-functional collaboration with Tax, Innovation & Change, and leadership teams

  • High-impact, business-facing innovation initiatives

  • Most importantly, you will have the opportunity to build solutions that drive meaningful operational and client impact across the practice.

The expected range of compensation for this role is: $64,000 to $96,000


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.

  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.

  • We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.


Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.


Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out ourcareers page.