MLOps/LLMOps Architect designing AI solutions for a next - gen AI platform in Canada. Collaborating with teams on architecture, deployment, and governance in AI environments.
About the role
- 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.
Responsibilities
- 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
- 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
- Company ownership
- Competitive pay
- Range of meaningful benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Staff MLOps Engineer responsible for building infrastructure for AI/ML at NBCUniversal. Managing large media datasets, deploying models, and automating data pipelines.
Deep Learning Engineer at NBCUniversal implementing algorithms in computer vision and graphics. Transforming high dimensional data into high - fidelity content using advanced techniques.
Staff Deep Learning Engineer at NBCUniversal implementing core algorithms for 2D and 3D media datasets. Collaborating with cofounders and deploying large - scale algorithms for high - fidelity content.
Senior Machine Learning Engineer at DraftKings shaping player experiences through machine learning solutions. Leading initiatives to improve engagement and retention via advanced data strategies.
Machine Learning Developer at Rocket Innovation Studio designing frameworks for automated decision - making. Collaborating with data scientists to develop algorithms and hosting trained models into business processes.
MLOps Developer leading major workstreams for AI - enhanced aerial surveillance platforms. Focused on deploying deep learning models and influencing MLOps strategy.
ML Engineer on the Alerts Team developing AI for crisis intelligence. Building and maintaining ML models in a dynamic environment.
Senior Staff Machine Learning Engineer at Workiva defining enterprise - level AI architecture and solutions. Leading technical direction and influencing secure AI platform design across multiple teams.
Principal Applied AI/ML Engineer designing and delivering high - impact AI systems for Autodesk's Forma Construction Cloud. Collaborating across teams to tackle complex technical challenges.