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D-Wave

Staff Machine Learning Research Developer

D-Wave

Staff Machine Learning Research Developer at D-Wave enabling quantum machine learning methods. Researching and developing software to enhance quantum computing capabilities for optimization and AI.

Posted 5/8/2026full-timeBurnaby • 🇨🇦 CanadaLead💰 CA$146,182 - CA$219,273 per yearWebsite

Tech Stack

Tools & technologies
AirflowPyTorchTensorflow

About the role

Key responsibilities & impact
  • Help the team align on best practices for machine learning systems and infrastructures
  • 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
  • Document research findings for potential publications and internal knowledge base
  • Communicate research findings and insights to other teams
  • Influence and guide the quantum machine learning roadmap
  • Lead and deliver goals on the quantum machine learning roadmap
  • Digest research papers, reproduce results, and prototype and develop novel quantum machine learning methods

Requirements

What you’ll need
  • 6+ years of professional experience in developing deep learning models
  • Advanced degree (MS/PhD) in a STEM field, or added years of deep industry experience
  • Algorithmic reasoning
  • Knowledge in generative machine learning paradigms (e.g., energy-based models, flow-based models, autoregressive models)
  • Familiarity with Monte Carlo methods
  • Solid understanding of Boltzmann Machines
  • Familiarity with probabilistic graphical models
  • 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
  • Expertise in building extensible APIs and frameworks around PyTorch (or JAX and TensorFlow)

Benefits

Comp & perks
  • Company ownership
  • Competitive pay
  • Range of meaningful benefits

ATS Keywords

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Hard Skills & Tools
machine learningdeep learningquantum computingC++MLOpsPyTorchJAXTensorFlowMonte Carlo methodsBoltzmann Machines
Soft Skills
communicationleadershipinfluencecollaborationdocumentationresearchproblem-solvingalgorithmic reasoning
Certifications
MSPhD