Machine Learning Engineer Jobs in Vancouver, BC (NOW HIRING)

Discover TRIUMF, Canada's particle accelerator centre. We are a publicly funded, not-for-profit research lab that is a hub for discovery and innovation.

Our mission is to serve as Canada's particle accelerator centre. We advance isotope science and technology, both fundamental and applied. We collaborate across communities and disciplines, from nuclear and particle physics to the life and material sciences. We discover and innovate, inspire and educate, creating knowledge and opportunity for all.

TRIUMF's diverse community of nearly 600 multidisciplinary researchers, engineers, technicians, tradespeople, staff, and students create a unique incubator for Canadian excellence, as well as a portal to premier global collaborations. Fueling innovation and improving lives, we are committed to accelerating discovery and shaping a better world.

The Machine Learning and Quantum Information Systems Specialist will play a key role in advancing TRIUMF's research programs by applying cutting-edge methods and technologies in Machine Learning (ML) and Quantum Information (QI). To be effective in this position, the incumbent will collaborate closely with research groups to identify opportunities where ML and QI can enhance scientific output, co-supervise students and postdoctoral researchers, and provide guidance in developing and adapting innovative methodologies to achieve research objectives.

The Specialist will also collaborate closely with the Canadian ATLAS Tier-1 Centre team and play a leading role in the software framework development, integration, and optimization of accelerators-based applications for the High-Luminosity Large Hadron Collider challenging computing environment. Development activities are crucial in ensuring that advanced compute accelerator technologies based on GPUs, FPGAs and/or Quantum Computing, are effectively deployed and utilized in a heterogeneous high-performance computing environment.

Beyond project leadership, the incumbent will share expertise through presentations, workshops, and training initiatives, both within TRIUMF and with national and international collaborators. They will also contribute to the next generation of talent by supporting internships, capstone projects, and summer schools.

Finally, the Specialist will help foster strategic partnerships with Canadian academia and industry to further strengthen TRIUMF's ML and QI initiatives and broaden their impact.

RESPONSIBILITIES:

• Apply and develop advanced methods and technologies in Machine Learning (ML) and Quantum Information (QI) to enhance TRIUMF's research programs.
• Collaborate with research groups to identify opportunities where ML and QI can improve scientific output.
• Provide guidance in developing and adapting innovative methodologies to achieve research objectives.
• Co-supervise students and postdoctoral researchers engaged in related projects.
• Leading role in R&D activities enabling use of advanced compute accelerators (GPUs, FPGAs, Quantum Computing) at the Canadian ATLAS Tier-1 Centre.
• Share expertise through presentations, workshops, and training opportunities at TRIUMF and with national/international collaborators.
• Contribute to training and mentorship through internships, capstone projects, and summer schools.
• Build and maintain strategic partnerships with industry to expand TRIUMF's ML and QI initiatives and their impact.
• Work on complex issues that require in-depth evaluation of variable factors and make non-routine decisions on project work where a high degree of accuracy and sound judgement are vital, as errors in detail or in decisions could lead to setbacks with research programs.
• Determine selection criteria for methods and techniques used in individual projects and have the ability to present complex ideas to interdisciplinary teams and team leaders anticipating objections and concerns.
• Responsible for objectives with long timelines with impact on several teams and lead cross-functional work that extends beyond their own area of expertise.
• Developing a professional network within the institution, nationally and internationally among academic and business leaders.

SUPERVISION EXERCISED:

There are no direct supervisory responsibilities associated with the position. However, the incumbent will act as a mentor and provide guidance to TRIUMF's scientific users, staff, postdoctoral fellows, graduate and undergraduate students at TRIUMF.

KNOWLEDGE AND SKILLS:

• Excellent leadership, verbal and interpersonal communication skills, planning skills, attention to detail, and flexibility to deal with changing priorities
• The ability to work independently and to anticipate researchers' need
• Requires extensive experience and expert professional level knowledge in several areas, including:
  • Machine Learning
  • Large Scale computing
  • Quantum Computing
  • Quantum Annealing
  • Quantum Assisted Machine Learning
  • Generative Models
  • Software development / coding python, julia, deep learning libraries (pytorch tensorflow), scientific computing libraries (sklearn, scipy, matplotlib), c++ beneficial
• Requires specialized depth and/or breadth of expertise and demonstrated interest, including applications of Machine Learning to two or more of the following fields:
  • Material Science
  • Nuclear Physics
  • Particle Physics
  • Life Sciences
  • Software development / coding python, julia, deep learning libraries (pytorch tensorflow), scientific computing libraries (sklearn, scipy, matplotlib), c++ beneficial

MINIMUM QUALIFICATIONS AND EXPERIENCE:

• PhD in the natural sciences or computer science with domain knowledge in at least two of TRIUMF's scientific fields.
• A demonstrated research record and previous experience in scientific computing
• Typically 8 years of relevant professional experience

COMPENSATION:
Annual salary would be $111.775.00 CAD plus our comprehensive benefits package.

All qualified applicants are encouraged to apply and will be given serious consideration, and in the case of equal qualifications, preference will be given to a Canadian Citizen or Permanent Resident.

Please note - The review of applications will start on December 15, and applications will still be accepted until the position is filled.

Position type:

Hours per week:

At TRIUMF, we value our employees and are committed to providing a competitive total rewards package. We offer comprehensive benefits that promote the well-being and security of our staff and provide an excellent opportunity to grow your career in a high-profile national research facility, where you can make a difference.

Benefits Information:

• TRIUMF paid dental, extended health, vision care, emergency travel assistance, Employee Assistance Program (EAP), Life Insurance, and supplementary Wellness Benefits.
• Excellent Employee Pension Plan
• Disability benefits, and optional additional Life insurance and Accidental Death & Dismemberment (AD&D)
• Generous time away
• Maternity and paternity leaves and top-ups

Apply now and be part of our extraordinary journey.

Learn more about the amazing research and work we do at TRIUMF.

https://www.discoverourlab.triumf.ca

http://www.rarestdrug.com

Equity, diversity, and inclusion are integral to excellence and enhance our ability to create knowledge and opportunity for all. Together, we are committed to building an inclusive culture that encourages, supports, and celebrates the voices of our employees, students, partners, and the people and communities we serve.

As an equal opportunity employer, committed to diversity, we encourage applications from members of groups that have been marginalised on any grounds enumerated under the B.C. Human Rights Code. All qualified applicants will receive consideration for employment.

Contact information:
Email: recruiting@triumf.ca
Phone: 604.222.1047
Fax: 604.222.3791
4004 Wesbrook Mall - Vancouver, BC - V6T 2A3

TRIUMF is located on the traditional, ancestral, and unceded territory of the xwmkwym (Musqueam) People, who for millennia have passed on their culture, history, and traditions from one generation to the next on this site.