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Phd Machine Learning Jobs in Alberta (NOW HIRING)

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

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:

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

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:

Targeted Talent

Data Scientist

Edmonton, AB

$80K - $100K/yr

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:

Targeted Talent

Data Scientist

Edmonton, AB

$80K - $100K/yr

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:

Clio

Senior Data Scientist

Calgary, AB · Hybrid

CA$160K - CA$184K/yr

Innovate new techniques in statistical analysis, machine learning, and data mining to unlock ... Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative ...

Clio

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Skills & Qualifications * 8+ years of experience in Data Science, Machine Learning, or a highly ... Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB

Advanced degree (e.g., Master's, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset ... Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to ...

All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Alberta

Phd Machine Learning information

See Alberta salary details

$22K

$119K

$214.5K

How much do phd machine learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for phd machine learning in Alberta 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, and why are they important?

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.

Phd Machine Learning jobs near you

Machine Learning Experts - PhD - AI Training - Canada

Prolific Academic Ltd

Calgary, AB • On-site, Remote

CA$150/hr

Full-time

Posted 6 days ago

Job description

Machine Learning Experts - PhD - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for ML / AI experts to help train and evaluate cutting-edge AI models. For this project we are seeking PhD holders who are comfortable narrating their approach to solving complex problems.

If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • A PhD (or PhD candidacy) in Machine Learning, Artificial Intelligence or a related discipline
  • Strong subject matter expertise and ability to work through complex, technical problems
  • Experience with or a strong interest in AI and machine learning is a bonus
  • Willingness to narrate your thinking out loud
  • Strong attention to detail
  • Reliable, fast internet connection and access to a computer
  • A PayPal account to receive payments from our clients
What you'll be doing in the role
  • Working through complex problems and tasks while narrating your reasoning process out loud
  • Screen-recording your approach to problems and tasks
  • Reviewing and evaluating AI-generated responses to technical problems, rating them for accuracy, depth, and reasoning quality
  • Comparing multiple model answers and selecting/justifying the best response
  • Writing improved exemplars, rationales, or structured feedback when models fall short
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Sign up directly here - https://app.prolific.com/register/participant/waitlist/?campaign_code=CGT9PJQK

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.