Machine Learning Tools Developer III-
Burnaby, BC Canada, Direct Hire / Full time, Hybrid
D-Wave (NYSE: QBTS) a leader in the development and delivery of quantum computing systems, software, and services, and is the world’s first commercial supplier of quantum computers—and the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Wave’s technology has been used by some of the world’s most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jülich, University of Southern California, and Los Alamos National Laboratory.
Our company and its innovations have appeared in the pages of Time Magazine, Fast Company, MIT Technology Review, Forbes, INC Magazine and Wired. As of August 8, 2022, our company is publicly traded on the New York Stock Exchange as $QBTS.
About the role:
D-Wave is looking for a Senior Algorithms Developer to join our Algorithms, Performance, and Tools (APT) team and contribute to the continuous improvement of Ocean, our open-source software development kit for solving complex problems on our quantum computers and quantum-classical hybrid solvers.
In this role you’ll be researching and developing machine learning tools for both internal and external researchers. Previous experience with quantum computing and/or a research background would be highly beneficial.
What you will do
- Contribute to the open-source Ocean SDK, its sub-packages and work on Machine Learning and QPU development tools.
- Write clean, well-documented and testable code for our Ocean software tools.
- Research, design and conduct experiments to run on our QPU hardware.
- Support research projects and expand our machine learning toolset.
- Support internal research teams, D-Wave customers, and the quantum computing developer community by maintaining, testing and writing high quality code for open and closed source software.
About You
- Master’s or PhD in machine learning, computer science, physics or mathematics, or equivalent experience, with several years of professional experience in software development.
- Extensive experience with machine learning, and a deep understanding of machine learning concepts and workflows.
- Experience with Machine Learning tools; in particular PyTorch, JAX and scikit-learn.
- Excellent Python skills and an understanding of how programming languages function under the hood. C++ knowledge a plus.
- A research mindset and an understanding of state-of-the-art research, including the ability to read, understand and implement research papers.
- Experience working on end-to-end software projects; from architecture to implementation and documentation.
- Familiarity with linear algebra, graph theory and combinatorial optimization
A D-Waver's DNA:
- We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
- We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
- We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
- As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.
THE FINE PRINT:
No 3rd party candidates will be accepted.
It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
