Lead the development and optimization of credit card acquisition strategies, with end-to-end accountability for acquisition credit risk strategy.
Responsibilities
Lead the development, implementation, and ongoing optimization of credit card acquisition credit risk strategies, including credit eligibility, approval/decline criteria, score cut-offs, credit assignment, and risk-based segmentation.
Own acquisition strategy performance and continuously identify opportunities to improve approval rates, portfolio growth and profitability while maintaining credit losses within risk appetite.
Develop differentiated strategies across customer segments, channels, products.
Establish a robust champion/challenger framework to test new strategies, cut-offs, segmentation approaches, and decisioning methodologies.
Monitor new-account vintages and cohorts to identify emerging risks and ensure acquisition quality remains aligned with portfolio objectives and loss expectations.
Requirements
Bachelor's degree in Statistics, Mathematics, Economics, Finance, Business, Engineering, Computer Science, or another quantitative discipline
A talented Full Stack Software Engineer to help solve the complex, technical challenges of a changing insurance landscape, with direct ownership of many parts of the stack.
Locations (2)
United States
Canada
Compensation
Base Salary Range $100,000-150,000 USD
Responsibilities
Collaborate with product managers, designers, and other engineers to develop new features and enhance existing applications
Design and implement frontend and backend components using JavaScript (Node.js) and Python
Develop RESTful APIs and integrate with third-party services as needed
Write clean, maintainable, and efficient code following best practices and coding standards
Implement automated tests and ensure high code quality through code reviews and continuous integration
Lead the engineering architecture of multi-agent AI systems, bridging the gap between data scientists and backend engineers to connect internal automation APIs, AI agents, and supporting ML models into a cohesive production platform.
Responsibilities
Design, build, and maintain production multi-agent AI systems and LLM workflows using modern orchestration frameworks such as LangChain and LangGraph.
Build the APIs, tool-calling interfaces, and MCP integrations that connect internal marketing automation services with AI agents and third-party platforms.
Partner with Data Scientists to take machine learning and statistical models from prototype into reliable production, and connect them to the agents that create, launch, and optimize ads.
Design end-to-end system architectures across models, databases, and backend services, optimizing for reliability, correctness, and long-running workflows at scale.
Build evaluation pipelines, guardrails, state management, and human-in-the-loop approval workflows to ensure AI and ML systems run safely in production.
Help build scalable machine learning models and predictive frameworks that drive value forecasting products at HelloFresh.
Compensation
Toronto, ON Pay Range
$170,000—$200,000 CAD
Responsibilities
Collaborate with engineers and product managers in a cross-functional team to improve HelloFresh’s customer value forecasting accuracy and efficiency.
Take ownership of the end-to-end machine learning lifecycle, including research, feature formulation, model development, validation, and monitoring for production-level inference.
Mentor junior team members and promote best practices in statistical modeling, experiment design, and data science methodology across the team.
Stay up-to-date on the latest advancements in data science and machine learning. Propose and implement methodological improvements or advanced algorithms to enhance predictive modeling accuracy and team efficiency.
Design and refine predictive frameworks to determine optimal personalized recommendations and sequential customer interventions in real-time.
Enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up to develop the DataHub platform, an enterprise data hub and identity middleware engine.
Senior Software Developer on a contract basis for an internal tooling team in Foundational Systems and Experiences Engineering (FSEE).
Compensation
$75.04—$112.60 CAD
Responsibilities
Design, build, test, and maintain the centralized portal and supporting services that internal console development teams use to onboard new applications.
Work with application developers, quality engineering developers, and partner teams to understand onboarding and development pain points, validate designs, and prioritize useful improvements.
Create clear, accessible interfaces that show application status, required actions, and relevant signals from connected systems.
Build secure, reliable backend services and APIs that integrate with systems involved in application onboarding and development workflows.
Collect and track signals from those systems, then implement dependable checks that can be used as gates in CI/CD pipelines.
Lead the hardware design of power conversion products, from topology selection through prototype and commercial-scale manufacturing, and mentor other engineers.
Locations (2)
Merrimack, New Hampshire, United States
Pointe-Claire, Quebec, Canada
Responsibilities
Own the power-stage hardware design of assigned power conversion products and set the hardware design rules that the product line follows.
Design power stages for AC/DC rectifiers, DC/AC inverters, and bidirectional, multi-phase, and interleaved DC/DC converters using Si and SiC MOSFETs, IGBTs, and SCRs.
Design gate drives, current and voltage sensing, protection and fault-detection circuits, and auxiliary power supplies.
Design supporting circuits, including DC links, active and passive pre-charge and discharge circuits, input and output filters, snubbers, clamps, relay and contactor drives, fan control and monitoring, and interfaces to capacitor and supercapacitor energy storage.
Design and specify low- and high-frequency magnetic and filter components and qualify them with suppliers.
The pay range for this position at commencement of employment is expected to be between CAD $151,000 and CAD $227,000 per year.
Responsibilities
Design and construct enterprise-grade connectors for varied data sources
Implement robust access control policies to eliminate unauthorized data exposure during search queries
Create and refine CPU-optimized and GPU based text classification rules and metadata tagging to detect and safeguard sensitive information (PII, PHI, financial records, credentials) using Regular Expressions (Regex) and Named Entity Recognition (NER)
Develop and write clean unit and integration tests for document extraction, classification, and ingestion pipelines
Partner with senior engineering staff to design, test, and enhance enterprise search and retrieval pipelines
Requirements
Bachelor's degree in Computer Science or a related Engineering field
Master's degree in Computer Science or a related Engineering field
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