Top Machine Learning Jobs in Vancouver

Own the full lifecycle of production classification and detection models, including transformer fine-tuning, entity detection, behavioral risk scoring, training, serving, versioning, evaluation, drift detection, and retraining. Build SageMaker-based ML systems and define output contracts supporting audit and policy enforcement. Lead the evaluation harness and mentor a co-op while operating as the company’s sole ML engineer.

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

Own LanceDB’s product direction by shaping the roadmap with technical leadership, researching users and competitors, gathering continuous user insight, and driving cross-functional prioritization. The role partners closely with engineering as a technically respected peer, defines product changes for AI and data-platform users, uses metrics and experiments to guide decisions, and operates with high ownership in an ambiguous environment.

Build and operate a reliable ML platform for large-scale distributed GPU training. Responsibilities include Kubernetes infrastructure, developer-facing CLIs and SDKs, AWS infrastructure, data and artifact management, experiment tracking, model registries, CI/CD, observability, documentation, security guardrails, and platform adoption. The role partners closely with researchers and engineers to improve training speed, reliability, usability, and cost efficiency for autonomous transportation systems.

Write and edit accessible journalism about AI for a general audience. Responsibilities include pitching ideas, drafting articles, editing researchers’ and writers’ work, setting editorial standards, and helping launch a consistent media program. The founding editor will shape editorial direction and clarify technical material without oversimplifying it.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Leads the full CRM marketing lifecycle, including campaign strategy, audience segmentation, personalization, build, QA, deployment, testing, measurement, and optimization across email, SMS, and push channels. Uses analytics, automation, machine learning, and predictive modeling to improve engagement, conversion, and fan lifetime value. Collaborates with Marketing, Data & Analytics, MarTech, Product Marketing, agencies, and vendors to deliver large-scale campaigns and continuous performance improvements.

The Director of Product for Data Flywheel will lead the roadmap for data initiatives, ensuring quality and compliance across various engineering teams and initiatives. Responsibilities include managing data metrics, supporting data pipelines, and collaborating across teams to enhance infrastructure.

Lead technical vision, research, and engineering for a unified computer vision platform. Define long-term research agenda, drive MLOps and deployment across edge/cloud, set performance metrics, manage and scale distributed teams, and translate product needs into scalable, production-ready visual intelligence solutions.

Lead a product portfolio for Clio's core case management experience, utilizing legal expertise to drive innovation and user adoption while simplifying attorney workflows with AI tools.

The job focuses on expanding teams in Protein Science, Drug Development, Manufacturing, Quality, and supporting roles in various scientific and engineering fields.

Lead Growth Product strategy and execution to drive customer acquisition, onboarding, and GTM efficiency. Manage a team of product managers, define measurable goals, collaborate with Engineering, Design, Marketing, Sales and Data, and build scalable systems (account scoring, TAM data, outbound automation, ML models) to improve pipeline conversion, CAC payback, and activation outcomes.

Lead and develop a credit risk analyst team while owning underwriting, exposure decisions, portfolio monitoring, loss forecasting, reporting, and provisioning. Partner with Data Science, Risk Analytics, Finance, Product, and Support to build credit risk models, policies, controls, and automated workflows. Establish an AI-native credit risk practice for payments and future lending products, communicate portfolio trends to leadership, and support vendor evaluations and product launches.

Lead product strategy, portfolio execution, and AI-first transformation for Colliers’ proprietary commercial technology platforms. Oversee multiple Product Management teams, establish roadmaps and FED governance, partner with Data, AI, Engineering, and global business leaders, and deliver enterprise B2B products for sales and services professionals. Drive adoption, product telemetry, KPIs, ROI measurement, and AI-enabled workflows using cloud and analytics technologies.

Serve as strategic partner to enterprise clients to drive ROI from fraud detection and AML solutions. Lead onboarding, monitor detection performance, advise on ML and rule-engine usage, coordinate with Product and Engineering, run QBRs, educate on best practices, and identify expansion and optimization opportunities.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

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 experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Lead a globally distributed endpoint security engineering team developing visibility, prevention, and machine learning capabilities across Windows, macOS, and Linux. Own the technical roadmap, delivery, cross-platform protection parity, and machine learning direction. Mentor senior engineers, manage hiring and career development, collaborate with product and engineering teams, maintain platform vendor relationships, and represent the team through customer engagement, conference presentations, and technical research.

Lead end-to-end ML lifecycle: data exploration, model training, evaluation, deployment, and monitoring. Design and scale batch and real-time feature pipelines, partner cross-functionally to productionize models, implement MLOps (CI/CD, retraining, drift detection, observability), and mentor engineers to maintain high code and system quality.

Develop AI/ML strategy and production software for Smile Digital Health’s healthcare data platform. Design architectures and implement semantic matching, RAG, document parsing, agentic systems, knowledge graphs, and evaluation workflows. Write clean, tested, documented code, integrate external components, conduct reviews, collaborate with clients and product teams, contribute to technical strategy, and mentor developers in an Agile environment.

Lead end-to-end product design for real-time insights, reporting, and analytics in a legal SaaS product. Translate complex data and domain logic into scalable, accessible UI patterns, prototype AI-powered features, conduct customer research, and partner with product and engineering to drive strategy, launches, and iterative improvements.

Lead the strategy, design, deployment, and scale-up of AI-powered health products across the Global South. Own product roadmaps, execution, government-system integration, stakeholder adoption, partnerships, grant development, and portfolio expansion. Collaborate with engineering, machine learning, program, and domain teams to deliver sustainable, measurable public-health impact.

Own and improve 2D, 3D, and fusion-based image segmentation models for clinical ultrasound and CT analysis. Build training, evaluation, dataset, and labeling pipelines; collaborate with clinicians, contractors, and data teams; and productionize auditable, low-latency inference services with confidence scoring, drift monitoring, and safe fallbacks. Work under medical-device design controls and support robust modeling across diverse patient anatomy and imaging conditions.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.