Staff Machine Learning Research Developer

6+ years of professional experience in developing deep learning models

An advanced degree (MS/PhD) in a STEM field, or added years of deep industry experience

Algorithmic reasoning should be second nature (e.g., data structures and computational complexity)

Ability to quickly digest research papers and implement methods

A breadth of knowledge in generative machine learning paradigms (e.g., energy-based models, flow-based models, autoregressive models) complemented by a depth of knowledge in several subdomains

Strong problem-solving, communication, and collaboration skills

Familiarity with Monte Carlo methods (e.g., Metropolis-Hastings, Gibbs, parallel tempering and sequential Monte Carlo)

A solid understanding of Boltzmann Machines (i.e., Ising models, Markov random fields, exponential family distributions)

Familiarity with probabilistic graphical models

Familiarity with annealing and gate-based quantum computers

Expertise with C++ or other low-level programming languages

Contributions to open-source software

Familiarity with MLOps ecosystems (e.g., Kubeflow, VertexAI, Airflow)

Experience in delivering end-to-end software projects---from architect to deployment

Expertise in building extensible APIs and frameworks around PyTorch (or, e.g., JAX and TensorFlow)

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.

We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.

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.

The base pay range for this role is:

$146,182 - $219,273 CAD per year

$167,000 - $230,000 USD per year

D-Wave (NYSE: QBTS) , D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. We are the world’s first commercial supplier of quantum computers, and the only company building both annealing and gate-model quantum computers. Our mission is to help customers realize the value of quantum, today. Our quantum computers — the world’s largest — feature QPUs with sub-second response times and can be deployed on-premises or accessed through our quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations trust D-Wave with their toughest computational challenges. With over 200 million problems submitted to our quantum systems to date, our customers apply our technology to address use cases spanning optimization, artificial intelligence, research and more. Learn more about realizing the value of quantum computing today and how we’re shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com .

You can read more about our company and our innovations in the pages of The Wall Street Journal, Time Magazine, Fast Company, MIT Technology Review, Forbes, Inc. Magazine, Wired and across many whitepapers.

At D-Wave, we’re helping customers realize the value of quantum computing today and are shaping the quantum-driven industrial and societal advancements of tomorrow.