About the role

D-Wave is seeking a Staff Machine Learning Developer to work alongside our researchers, solutions architects, and software developers specializing in various domains (e.g., combinatorial optimization, graph theory, and quantum physics).

As a senior member of the Machine Learning Development team, you will have the opportunity to influence our product offerings. You will lead the architectural design and development of our software to enable researchers and solutions architects to rapidly prototype and experiment with quantum machine learning methods. In parallel, you will research and develop machine learning methods exploiting the optimization, sampling, and quantum simulation capabilities of quantum computers.

We are looking for intrinsically motivated individuals who want to make technological and tangible impacts at the intersection of quantum computing and machine learning.

What you’ll do

Help the team align on best practices for machine learning systems and infrastructures, research, and products
Design and develop software for machine learning methods using annealing quantum computers
Research and develop machine learning methods exploiting optimization, sampling, and quantum simulation capabilities of annealing quantum computers
Communicate with leadership to identify quantum machine learning opportunities
Consistently and comprehensively document research findings for potential publications and for building D-Wave’s internal knowledge base
Clearly and effectively communicate research findings and insights to other D-Wave teams
Influence and guide the quantum machine learning roadmap by providing technical feedback to leadership
Lead and deliver goals on the quantum machine learning roadmap
Quickly digest research papers, reproduce results, and prototype and develop novel quantum machine learning methods

What you’ll bring

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

Nice to have

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)

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.

Our Compensation Philosophy is Simple but Powerful:

We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.

During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.

Inclusion:

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.

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.

The base pay range for this role is:

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

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

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D-Wave Quantum