Senior AI Scientist – Digital Strategy and Product

Role Overview

• Lead the end-to-end design, prototyping, and production deployment of AI/ML systems, spanning classical machine learning (e.g., recommendation systems, personalization engines) and modern Generative AI architectures
• Architect scalable Natural Language Processing (NLP) and Large Language Model (LLM) solutions, prompt engineering frameworks, Retrieval Augmented Generation (RAG), AI Agents, and production integration patterns
• Define and implement rigorous evaluation frameworks for AI systems
• Develop recommendation engines and personalization systems that inform strategic decisions across digital platforms, in collaboration with software engineers, business stakeholders, and product owners
• Develop and deploy generative AI architectures (e.g., LLMs, RAG) and pipelines, integrating structured and unstructured data sources for trustworthy news applications
• Apply MLOps and LLMOps to meet required quality, performance, observability, and scalability standards
• Deploy and manage scalable AI systems in cloud environments (preferably GCP), leveraging tools such as Airflow and Vertex AI
• Partner with editorial teams to ensure AI solutions meet journalism standards
• Work with software engineering teams to maintain development best practices and ensure compliance with CBC AI operational guidelines
• Guide prototype evaluation and implementation roadmap
• Mentor team members in AI development practices

Requirements

• Master’s degree with 4+ years or PhD degree with 2+ years in Machine Learning, Computer Science, Engineering, Mathematics, or a related quantitative field
• Strong AI/ML engineering background, with hands-on experience in both classical machine learning (especially recommendation systems and personalization engines) and modern generative AI systems
• Deep expertise in NLP and LLMs, including integration and production deployment of LLMs
• Experience developing and implementing Retrieval-Augmented Generation (RAG) architectures and working extensively with LLM evaluation frameworks, benchmarking methodologies, and automated testing pipelines
• Proven experience building and deploying AI-powered applications, including text summarization, video summarization, and other content automation solutions for media or content-driven and/or audience-facing industries
• Strong prototyping mindset, with demonstrated ability to evaluate new AI models, run experiments, and collaborate cross-functionally (product, engineering, data, editorial) to translate concepts into production-ready solutions
• Advanced proficiency in Python and core ML frameworks such as Scikit-learn and TensorFlow
• Strong experience with Git-based workflows and deploying scalable AI systems on cloud platforms, particularly GCP
• Hands-on experience with ML/LLMOps and production AI systems, including continuous training pipelines, model monitoring, experimentation tracking, and CI/CD for ML
• Familiarity with tools such as Vertex AI ML/LLMOps
• Excellent communication skills with the ability to translate complex AI concepts into clear, actionable insights for editorial teams
• Strong analytical skills and the ability to assess the technical feasibility and business value of cutting-edge AI solutions
• Collaborative and team-oriented with a focus on delivering solutions that meet both technical and editorial requirements
• Experience implementing AI safety and guardrail frameworks, including moderation systems and policy enforcement tools (Nice to Have)
• Experience designing and building cutting-edge AI systems, including chatbots and multi-agent architectures, with strong expertise in orchestration, tool integration, multi-step reasoning, and contextual memory management (Nice to Have)

Tech Stack

• Airflow
• Cloud
• Google Cloud Platform
• Python
• Scikit-Learn
• Tensorflow

Benefits

• Work with purpose and impact at scale
• Flexible work schedules, allowing you to find balance for yourself, your family and your work
• A hybrid environment you can enjoy the benefits of work from home and in-office collaboration
• Competitive total rewards package including robust health benefits and best-in-class defined benefits pension plan
• Dedicated time for innovation, learning and development; wherever your interests lie
• Opportunities to work with emerging technology
• Opportunities for continued learning and professional development
• Opportunities to become a member of our Employee Resource Groups
• Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent
• A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected
• A supportive management team committed to upholding the highest standards of diversity and inclusivity
• An environment which favors experimentation and an iterative approach in order to achieve the highest form of technical innovation