Staff Machine Learning Research Developer [430]
**D-Wave Quantum Inc. (NASDAQ: QBTS)** 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 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 alignonbest practices for machine learning systemsand infrastructures, research, and products
Design and developsoftwareformachine learningmethodsusing annealing quantum computers
Research and develop machine learningmethodsexploiting optimization,sampling, and quantum simulationcapabilities of annealing quantum computers
Communicate with leadershiptoidentifyquantum machine learning opportunities
Consistently and comprehensivelydocumentresearch findings forpotentialpublicationsandforbuilding D-Wave's internal knowledge base
Clearlyand effectively communicate research findingsand insightstoother D-Wave teams
Influenceand guide thequantum machine learningroadmapby providing technical feedback toleadership
Lead and deliver goals on the quantum machine learning roadmap
Quickly digest research papers, reproduce results, and prototypeand developnovelquantum machine learningmethods
**What you'll bring**
6+ years of professional experienceindevelopingdeeplearning models
An advanced degree (MS/PhD) in a STEM field, or added years of deep industry experience
Algorithmic reasoningshould be second nature (e.g.,data structuresand computational complexity)
Ability toquickly digestresearch papers and implement methods
Abreadth of knowledge ingenerativemachine learning paradigms(e.g.,energy-based models,flow-basedmodels,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,paralleltemperingand sequential Monte Carlo)
A solid understanding of

Boltzmann Machines(i.e.,Ising models,Markovrandomfields,exponentialfamily distributions)
Familiarity with probabilistic graphical models
Familiarity with annealingand gate-basedquantum computers
Expertisewith C++ orotherlow-level programming languages
Contributions to open-source software
Familiarity withMLOpsecosystems (e.g., Kubeflow,VertexAI, Airflow)
Experience indelivering end-to-end software projects---from architectto deployment




Expertisein building extensible APIs and frameworks around

PyTorch(or, e.g., JAX and Tensor

Flow)
**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 creative 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

📌 Staff Machine Learning Research Developer [430] (Canada)
🏢 D-Wave
📍 Canada