Technical cornerstone of the Martech team, architecting and building intelligent systems that power hyper‑personalized customer experiences.
Compensation
Base salary range: $90,000 - $120,000. The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full‑Time Permanent roles.
Responsibilities
Implement and support the orchestration layer that connects MarTech platforms with internal microservices
Develop, test, and maintain real‑time data pipelines for customer data
Collaborate with Marketing, Product, and Data Science teams to build modern customer journey logic
Write clean, modular, maintainable code and participate in peer code reviews
Conduct proofs‑of‑concept and technical investigations for MarTech tools
Leverage advanced analytics to surface strategic insights and support Questrade’s growth and customer‑centric solutions across a multi‑product, multi‑channel financial services environment.
Compensation
Base salary range: $120,000 - $130,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Responsibilities
Supporting Strategy and Corporate Development team with data requests to inform decision making
Collaborating on customer segmentation and profitability analysis
Contributing to set up and inputs for customer / product profitability models
Building and refining predictive models
Identifying opportunities to embed data and analytics throughout strategy and new product development process on an ongoing basis
Internship in Automation Support / Development Engineering focusing on hardware-software automation solutions.
Compensation
Hourly Wage: $23-30 CAD/hr
Responsibilities
Work with internal customer focused teams to understand where hardware and/or IoT automation projects can help improve efficiencies
Support development of automation solutions (hardware and software) to improve operational efficiencies
Support development of production automation tools, including robotics, vision systems and software controls
Implement software & hardware solutions including HW procurement, integration, qualification and installation support for manufacturing test of electronics
Integrate tools and code developed by other internal groups or external customers
Senior Forward Deployed Engineer responsible for designing, deploying, and supporting AI solutions for enterprise customers, collaborating with product and engineering teams to improve platform reliability and scalability.
Lead preclinical imaging studies for radiopharmaceuticals in rodent models, integrating nuclear imaging with pharmacology to support discovery decisions.
Compensation
Annual base salary for this position ranges from 108,713.60 to 142,686.60.
Responsibilities
Design, conduct, and analyze imaging-based biodistribution and mechanistic studies of radiopharmaceuticals in rodent models
Perform reconstruction and quantification of multimodal imaging data
Drive development of imaging-based methods for dosimetry and PK/PD relationships
Integrate imaging results with ex vivo tissue biodistribution and efficacy studies
Build partnerships with cross-functional experts
Requirements
MSc or Ph.D. in Biochemistry, Biology, Immunology, Biomedical Engineering, Medical physics, Molecular/Cell Biology or related field
Lead full‑stack development of the Capital One Travel portal, owning technical design, architecture, and mentorship of junior staff.
Compensation
The expected annual salary range for this position is $173,000 - $197,400. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es).
Responsibilities
Work as part of a dynamic team throughout the Software Development Life Cycle
Act as a tech lead developer owning technical design and development of cross‑functional, multi‑platform, fault tolerant application systems
Utilize programming languages like JavaScript, React, HTML/CSS, Angular/TypeScript, Python, Java and/or Go, Open Source RDBMS and NoSQL databases, and a variety of AWS tools and services
Lead research and development of Physical AI system modeling, foundation models, and hardware integration for humanoid and industrial robotics.
Responsibilities
Define long‑term Physical AI research direction and system architecture
Identify emerging methods and lead foundation model training and fine‑tuning
Architect, develop, and maintain virtual system world models
Own technical architecture of Physical AI data curation pipelines
Lead imitation‑learning, reinforcement‑learning, domain‑randomization, sim‑to‑real, and real‑to‑sim workflows
Requirements
Ph.D. in Robotics, Engineering Science, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering or a closely related field
Nice to have: neuromorphic computing
Nice to have: in‑memory computing
Nice to have: foundation model development for hardware generation
Review processes and procedures followed by the Individual Insurance Actuarial Inforce and Policy Tax team
Recommend changes to processes and procedures as appropriate
Proactively recommend and, if approved, design and implement innovative solutions to enhance accuracy, streamline workflows, and drive operational efficiency
Identify gaps, omissions or activities that could expose the organisation to operational risk
Requirements
University degree, preferably in Engineering, Physics, Mathematics, or Finance
Nice to have: Knowledge of individual insurance products
Nice to have: Knowledge of Automation Suite Tools (e.g. Pyautogui, Selenium)
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor’s degree in Computer Science or a related technical field
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