Senior Level machine learning

D-Wave is seekingaStaff Machine Learning Research Developerto workalongsideour researchers, solutions architects,and software developers specializing invarious domains(e.g.,combinatorialoptimization,graph theory,and quantumphysics).

As a seniormember of theMachineLearningDevelopment team,you will have the opportunity to influence our product offerings. You willleadthearchitecturaldesignand development ofour softwareto enableresearchersand solutions architectstorapidly prototype andexperiment with quantum machine learning methods.Inparallel, you will research and developmachine learningmethodsexploiting the optimization,sampling, and quantum simulationcapabilities of quantum computers.

We are looking forintrinsically motivated individualswho want tomaketechnological and tangibleimpactsat 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, * 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.

• 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 ofBoltzmann 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 aroundPyTorch(or, e.g., JAX and TensorFlow)

$146,182 - $219,273 CAD per year

$167,000 - $230,000 USD per year