Staff Machine Learning Developer

Staff Machine Learning Developer 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. 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 6-8+ years of professional experience in developing and deploying deep learning models Familiarity with MLOps ecosystems (e.g., Kubeflow, VertexAI, Airflow) An advanced degree or rigorous background in STEM (MS/PhD), or deep industry experience Expertise 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) 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 ... (truncated, view full listing at source)