Top Machine Learning Jobs in Vancouver

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.

Support P&C pricing, underwriting and product development through data extraction, cleaning, actuarial analyses, rating model development, trend and loss ratio studies, and documentation. Collaborate with senior actuaries on research, predictive modeling, and decision support while progressing through CAS exams.

Build and operate ML training and serving infrastructure: design, develop, and launch backend systems, support availability and on-call, collaborate cross-functionally, and improve developer velocity.

Apply machine learning and statistical methods to integrate geophysical, geological, geochemical, remote sensing and drillhole data for mineral prospectivity and geological classification. Deliver consulting projects and client reports, support platform development (SmartSuite), evaluate new ML methodologies, assist R&D, and collaborate cross-functionally while contributing to proposals, QA, and technical documentation.

The Senior Software Development Engineer will build backend services in Go on AWS, enhance AI/ML platform offerings, and drive infrastructure optimization for scalable products.

Develop and propose enhancements to graphics API specifications (Vulkan, OpenGL, WebGL/WebGPU, SPIR-V, glTF), apply computer graphics and GPU computing techniques, engage in KHRONOS/W3C standard activities, and contribute ML and parallel computing expertise with a strong publication record.

Lead technical pre-sales for Snowflake: present to executives, deliver demos and POCs, design solutions linking customer architectures to Snowflake, and collaborate with sales, product, and engineering to close large deals.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

The Applied Scientist will develop next-gen AI systems for autonomous driving, focusing on machine learning, simulation, and robotics, advancing embodied AI technologies.

Lead engineering to build a unified platform enabling agentic access to Workday Data Cloud via a semantic layer and MCP server. Architect, implement, validate, and scale ML and agent systems, deliver mission-critical features on schedule, design APIs, and mentor engineering teams.

Build, optimize, and embed machine learning models for on-device inference within a Go-based detection engine. Own models end-to-end: deploy, monitor performance, detect drift, iterate, and resolve production issues while collaborating with systems engineers and stakeholders.

The Cloud Inference Engineer is responsible for building and maintaining a scalable LLM inference platform, focusing on distributed systems and machine learning technologies while collaborating across teams to optimize performance.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Lead sensitivity studies and simulation development for the XLZD liquid xenon observatory, applying Monte Carlo and machine learning techniques for 0νββ searches. Support calibration and detector R&D at TRIUMF, produce technical reports and publications, present results, and mentor students within an international collaboration.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Lead the development of fraud prediction models, build feature pipelines, prototype modeling ideas, and productionize models while collaborating with cross-functional teams.

Provide embedded legal counsel to product and engineering on privacy, IP, and consumer protection; lead Arena's global privacy program (GDPR, CCPA/CPRA, cross-border transfers); advise on AI governance and responsible deployment; support commercial contracts and data flow frameworks; build privacy processes, playbooks, internal agents, and legal-tech integrations to scale operations.

Design, build, and maintain scalable AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists and engineers to implement and optimize AI solutions, troubleshoot pipeline issues, document best practices, and develop MVP code to transition into production-ready systems.

Design, develop, and deliver analytical data products using advanced analytics, statistical modeling, AI/ML, and data mining. Collaborate with stakeholders and data engineers to prepare data, build predictive and prescriptive models, and create dashboards/visualizations to drive business decisions.

Lead end-to-end performance creative production: ideation, scripting, directing, editing, and delivering ads across paid social, YouTube, and CTV. Translate data into creative direction, manage agency/production partners, iterate quickly using AI tools, and raise visual and brand quality while optimizing for measurable growth.

Drive end-to-end product design for Avid Content Core, representing the customer to define and prioritize product stories, collaborate with engineering on implementation, integrate AI into SaaS offerings, engage customers and partners, and ensure workflows, deployment, security, and quality throughout the agile development lifecycle.

Conduct benchmarking and characterization research on quantum systems, implement and evaluate hybrid algorithms, expand benchmarking software pipelines, run experiments to quantify QPU contributions, analyze results, and communicate findings to internal and external stakeholders.

Lead end-to-end product design for Clio's Fintech/payments area: conduct customer research, frame opportunities, prototype and ship AI-enabled workflows, improve design systems, measure impact, and mentor other designers.