Senior AI Scientist

Position Summary: Senior AI Scientist

At CBC/Radio-Canada, we create content that informs, entertains, and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness, and relevance. You would be joining a team that thrives on making connections and telling stories that are important to Canadians. If you share our passion for storytelling, Canada, and having a positive impact on your community, CBC’s Digital Strategy and Product team is where you want to be!

CBC serves one of the country’s largest digital audiences with a product suite including cbc.ca, CBC News app, CBC Gem, and CBC Listen. Our product vision is to make it effortless for all people and communities in Canada to tell and discover the stories that connect us. You will play a part in informing, enlightening, and entertaining Canadians through innovative storytelling formats and content discovery. We are an empowered outcome-driven innovative hub for CBC, critical to the future growth of Canada’s public media company and the wider content ecosystem. We are committed to an inclusive and equitable workplace.

Why Join Radio-Canada's Digital Team?

Our digital teams’ values – collaboration, inclusion, learning, and continuous improvement – embody who we are as a people-focused, digital-forward employer. We follow Agile principles and the empowered product operating model. Our dedicated managers ensure we are leveraging individual strengths, championing ideas, and supporting pursuit of new skills and desired career progression.

Perks You Can Look Forward To

• Work with purpose and impact at scale.
• Flexible work schedules, allowing balance for yourself, your family, and your work.
• A hybrid environment to enjoy both 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.
• 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.
• A creative and dynamic work environment where your ideas are valued.
• A supportive management team committed to diversity and inclusivity.
• An environment which favors experimentation and an iterative approach.

Key Responsibilities: Making an Impact as Senior AI Scientist

Technical Leadership

• 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.

AI Product Development

• 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.

Cross-functional Collaboration

• 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.

What You Bring To Our Team

Education

Master’s degree with 4+ years or PhD degree with 2+ years in Machine Learning, Computer Science, Engineering, Mathematics, or a related quantitative field.

Technical Experience

• 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. 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.

Soft Skills

• 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.

Nice To Have

• Experience implementing AI safety and guardrail frameworks, including moderation systems and policy enforcement tools.
• 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.

Key skills/competency

• Machine Learning
• Generative AI
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Recommendation Systems
• Personalization Engines
• MLOps/LLMOps
• Google Cloud Platform (GCP)
• Python
• Data Integration