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Staff Machine Learning Research Developer at D-Wave Quantum. Location Information: . About the role. D-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 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