Staff Machine Learning Research Developer (Quantum Computing)

TL;DR

Staff Machine Learning Research Developer (Quantum Computing): Design and develop software for machine learning methods using annealing quantum computers with an accent on optimization, sampling, and quantum simulation capabilities. Focus on researching novel quantum machine learning methods, prototyping experiments, and influencing the product roadmap through technical leadership and publications.

Hybrid (Burnaby, British Columbia, Canada)

$146,182 - $219,273 CAD per year (Burnaby)

Company

Leader in quantum computing systems, software, and services, building annealing and gate-model quantum computers accessible on-premises or via cloud.

What you will do

• Align team on best practices for machine learning systems, research, and products
• Design and develop software for ML methods on annealing quantum computers
• Research ML methods exploiting quantum optimization, sampling, and simulation
• Communicate opportunities to leadership and document findings for publications and internal knowledge
• Influence quantum ML roadmap and lead delivery of goals
• Digest research papers, reproduce results, and prototype novel quantum ML methods

Requirements

• 6+ years professional experience developing deep learning models
• Advanced degree (MS/PhD) in STEM or equivalent industry experience
• Strong algorithmic reasoning (data structures, computational complexity)
• Ability to quickly digest and implement research papers
• Breadth in generative ML paradigms (energy-based, flow-based, autoregressive models) with depth in subdomains
• Strong problem-solving, communication, and collaboration skills

Nice to have

• Familiarity with Monte Carlo methods (Metropolis-Hastings, Gibbs, parallel tempering)
• Understanding of Boltzmann Machines, Ising models, Markov random fields
• Familiarity with probabilistic graphical models, annealing/gate-based quantum computers
• Expertise in C++ or low-level languages, open-source contributions
• MLOps experience (Kubeflow, VertexAI, Airflow), end-to-end software delivery
• Expertise building extensible APIs/frameworks around PyTorch, JAX, TensorFlow

Culture & Benefits

• Future-oriented mindset: see possibilities, achieve ambitious goals
• Straight talk, empathy, diverse opinions, external connections
• Accountability for results, team motivation and growth
• Competitive pay, equity, bonus, perks, benefits reviewed in interviews
• Inclusive environment supporting diverse perspectives and career growth