Top Tech Jobs & Startup Jobs in Vancouver

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

The Product Solutions Engineer will integrate AI models with clients, deliver evaluations, improve processes, and collaborate on product development.

The Technical Recruiter will manage full-cycle recruiting, partner with hiring managers, and promote inclusive hiring practices while maintaining a strong candidate experience.

The Machine Learning Scientist will lead open-source research, design experiments, develop novel methodologies, and analyze large-scale data to advance AI model evaluation and transparency.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Design and analyze experiments and causal studies, build retention measurement and predictive models, develop scalable PySpark/SQL data pipelines, create dashboards, and partner with product and growth teams to improve user engagement and retention.

Design and implement product-level authentication, authorization, multi-tenant isolation, and privacy-preserving data lifecycles. Ship security-sensitive changes end-to-end, own application and API security, threat modeling, telemetry for security events, and integrate conservative partner security controls.

Build and scale low-latency, reliable infrastructure for online AI evaluation: APIs, gateways, streaming handling, observability, enterprise features (rate limiting, auth, billing), and integrations with LLM providers and evaluation platforms.