D-Wave Systems (Quantum Computing): Machine Learning Researcher

The science fiction future is here. Help design and implement novel machine learning and deep learning algorithms that leverage the power of the D-Wave quantum computer.

D-Wave Systems Company: D-Wave Systems
Location: Burnaby, BC, Canada
Web: www.dwavesys.com

D-Wave is building hardware with the goal of computing as fast as nature will allow. We're working hard on exploiting quantum resources which are known to offer large computational speedups on some problems. The D-Wave adiabatic quantum computer is able to sample from probability distributions and optimize functions that are computationally intractable using classical hardware.

When viewed as a sampler, the native operation of the D-Wave machine is analogous to a sparsely-connected restricted Boltzmann machine. Similar network dynamics have fueled the recent explosion in the field of deep learning, the results of which are presently deployed in products ranging from speech recognition to image search. The D-Wave applications research team is working to exploit the parallels between these architectures to substantially accelerate learning in deep, hierarchical neural networks.


We are seeking an experienced machine learning researcher to join our research team and focus on the application of machine learning. The job will involve working closely with a team of machine learning and quantum computation experts to design and implement novel machine learning algorithms that leverage the power of the D-Wave quantum computer. The candidate will design and implement algorithms being developed by the team, investigate their properties, and help fine-tune their design.

Responsibilities Include:
  • Work closely with machine learning experts to design, implement, tune, and optimize machine learning algorithms.
  • Design and implement experiments to test the quality of machine learning algorithms.
  • Validate promising research concepts with high quality Python implementations.
  • Apply software engineering best practice: software design patterns, version control, unit tests, documentation.
  • Work with a diverse group of technical experts to incorporate their expertise into software projects.

Required Qualifications:
  • PhD in computer science, statistics, applied mathematics, or physics.
  • Experience in statistical methods for machine learning, ideally including probabilistic models, with a focus on Boltzmann machines and MCMC techniques.
  • Demonstrated success in the application of machine learning to practical problems.
  • Expert coding abilities in multiple programming languages. Preference given to demonstrated experience using Python.
  • Self-motivated, proactive, flexible and passionate about learning.
  • Excellent critical thinking, analysis, and problem solving.
  • Ability to work well in a fast-paced team environment focused on end results.

We thank all applicants for their interest, however, only those who are selected for interviews will be contacted.

Please apply on our careers page at www.dwavesys.com/careers or directly here

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, genetic information, physical or mental disability, protected veterans status, or any other characteristic protected by federal, state/provincial, local law.

About us:

D-Wave has been granted over 100 U.S. patents, and in 2012 the company's patent portfolio was ranked #4 for computer systems in IEEE Spectrum's Patent Power Scorecard. D-Wave has over 60 peer reviewed papers, a list of which can be found on our website at: www.dwavesys.com/resources/publications

The company was recently listed by Forbes as one of the 10 companies creating our science fiction future and by VentureBeat as one of 15 awe-inducing disruptive product technologies.

Some investors in D-Wave include, Draper Fisher Jurvetson, Goldman Sachs, Bezos Expeditions, In-Q-tel, and the Business Development Bank of Canada. A D-Wave Two quantum computer is the center piece of the Google NASA Quantum Artificial Intelligence Lab at NASA's Ames Research Center: www.youtube.com/watch?v=CMdHDHEuOUE