Top Tech Jobs & Startup Jobs in Montreal

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.

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.

Explore large-scale AI evaluation datasets, identify patterns, biases, and causal relationships, and design experiments to understand model behavior. Build reproducible analysis pipelines with Python, Pandas, NumPy, and Spark; develop statistical and causal inference frameworks; partner with ML researchers and engineers; and communicate findings to technical and non-technical stakeholders.

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

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

Own and develop Arena’s public web surfaces, including the blog, marketing pages, and leaderboard UI. Build with Next.js, React, TypeScript, Sanity CMS, and the company design system. Improve performance, accessibility, SEO, structured data, internationalization, and data visualization. Create CMS models and publishing tools that enable marketing teams to ship independently while collaborating closely with designers, marketers, and engineers.

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