About The RoleD-Wave is seeking a Staff Machine Learning Research 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 DoHelp the team align on best practices for machine learning systems and infrastructures, research, and productsDesign and develop software for machine learning methods using annealing quantum computersResearch and develop machine learning methods exploiting optimization, sampling, and quantum simulation capabilities of annealing quantum computersCommunicate with leadership to identify quantum machine learning opportunitiesDocument research findings for potential publications and for building D-Wave’s internal knowledge baseClearly communicate research findings and insights to other D-Wave teamsInfluence and guide the quantum machine learning roadmap by providing technical feedback to leadershipLead and deliver goals on the quantum machine learning roadmapDigest research papers, reproduce results, and prototype and develop novel quantum machine learning methodsWhat You'll Bring6+ years of professional experience in developing deep learning modelsAn advanced degree (MS/PhD) in a STEM field,



or added years of deep industry experienceAlgorithmic reasoning should be second nature (e.G., data structures and computational complexity)Ability to quickly digest research papers and implement methodsA 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 subdomainsStrong problem-solving, communication, and collaboration skillsNice to haveFamiliarity 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 modelsFamiliarity with annealing and gate-based quantum computersExpertise with C++ or other low-level programming languagesContributions to open-source softwareFamiliarity with MLOps ecosystems (e.G., Kubeflow, VertexAI, Airflow)Experience in delivering end-to-end software projects—from architect to deploymentExpertise in building extensible APIs and frameworks around PyTorch (or, e.G., JAX and TensorFlow)A D-Waver's DNAWe 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 and take responsibility so that we can act and support each other.As leaders we motivate and engage our teams to undertake beyond what they originally thought possible, by developing our teams and creating the conditions for people to grow and empower themselves through enabling and coaching.Our Compensation Philosophy Is Simple But PowerfulWe 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.InclusionWe 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 PrintNo 3rd party candidates will be acceptedIt is D-Wave Systems Inc. policy to provide equal employment prospect (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 (Burnaby)#J-18808-Ljbffr

📌 Staff Machine Learning Research Developer - C$146,182 - C$219,273 A Year (Winnipeg)
🏢 D-Wave Systems
📍 Winnipeg