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Quantum Machine Learning Jobs in Ontario (NOW HIRING)

Bachelor's degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering * Motivated learner with a strong interest in quantum ...

CNC Machinist (Programmer)

Ottawa, ON · On-site

CA$60K - CA$100K/yr

Q-Block Computing builds quantum systems that operate in the real world. The company develops ... Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ...

Apply Early

Q-Block Computing builds quantum systems that operate in the real world. The company develops ... Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ...

About Us OTI Lumionics is developing advanced materials-by design-using quantum simulations, machine learning and real-world testing in pilot production. We are currently focused on key enabling ...

Production Technician

Mississauga, ON · On-site

CA$55K - CA$75K/yr

About US OTI Lumionics is developing advanced materials-by design-using quantum simulations, machine learning and real-world testing in pilot production. We are currently focused on key enabling ...

Quantum Machine Learning information

See Ontario salary details

$23.5K

$113.2K

$199.5K

How much do quantum machine learning jobs pay per year?

As of Jul 5, 2026, the average yearly pay for quantum machine learning in Ontario is $113,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $150,000.00 per year, depending on experience, location, and employer.

Is quantum machine learning a good career?

Quantum machine learning is an emerging field combining quantum computing and machine learning, with growing research and industry interest. Careers in this area typically require strong backgrounds in quantum physics, computer science, and programming skills, often involving specialized tools like quantum algorithms and hardware. As the field develops, demand for experts is expected to increase, making it a promising career path for those with relevant expertise.

Which 3 jobs will survive AI?

Quantum machine learning professionals, data scientists, and software engineers are likely to continue thriving as AI advances, due to their specialized skills in developing, understanding, and managing complex algorithms and quantum computing tools. These roles require critical thinking, domain expertise, and adaptability to evolving technologies, making them less susceptible to automation. Continuous learning and certification in AI and quantum technologies can further enhance job security in these fields.

What are the key skills and qualifications needed to thrive in the Quantum Machine Learning position, and why are they important?

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.

What is the salary of quantum machine learning?

Salaries for quantum machine learning professionals vary based on experience, education, and location, but typically range from $80,000 to over $150,000 annually. Entry-level roles may start lower, while experienced researchers or specialists with advanced skills in quantum computing and machine learning can earn higher salaries. Many positions also offer benefits such as research funding and access to cutting-edge technology.

What is a Quantum Machine Learning job?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in quantum control solutions and software for quantum computing. It provides tools and expertise to help improve qubit performance and error correction in quantum systems, which can be relevant for professionals in quantum machine learning roles.
What are popular job titles related to Quantum Machine Learning jobs in Ontario? For Quantum Machine Learning jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning jobs in Ontario look for? The top searched job categories for Quantum Machine Learning jobs in Ontario are:
Infographic showing various Quantum Machine Learning job openings in Ontario as of June 2026, with employment types broken down into 100% Full Time. Highlights an 68% Physical, 5% Hybrid, and 27% Remote job distribution, with an average salary of $113,193 per year, or $54.4 per hour.
Senior Field Engineer - Canada

Senior Field Engineer - Canada

IonQ

Toronto, ON • On-site

Other

Posted 2 days ago


Job description

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you'll be part of a team whose mission is to lead IonQ on its journey to build the world's best quantum solutions and solve the world's most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We're seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ's quantum computing products and quantum applications. 


Responsibilities:

  • Inspire prospective clients by explaining IonQ's strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
  • Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
    • This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
  • Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
  • Navigate competitive objection handling
  • Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
  • Create assets to explain features of our quantum applications and other IonQ quantum products.
  • Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
  • Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
  • Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
  • Attend industry conferences, as needed, to talk to client and support our booth activities.
  • Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
  • This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.


You'd be a good fit with:

  • 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
  • Bachelor's degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
  • Motivated learner with a strong interest in quantum computing.


You'd be a great fit with: 

  • Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
  • Time on the customer side in various verticals included leadership roles - this provides customer empathy
  • Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
  • Proficient in Python and Jupyter Notebooks.
  • Expert architecture skills across various technologies ("full stack skills")
  • Experience leading technical events.


Location: This position can work onsite or hybrid from our office in Toronto or remote in Canada
Travel: 20% travel domestically and globally
Job ID: 1310