Senior Manager, Machine Learning

Position Title:

Senior Manager, Machine Learning & AI (Digital Strategy And Product) (English Services)

Status of Employment:

Permanent

Position Language Requirement:

English

Language Skills:

English (First Official Language), English (Reading), English (Speaking), English (Writing)

Work at CBC/Radio-Canada

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. 
 
Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

Unposting Date:

:59 PM

Work at CBC/Radio-Canada

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. 

Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

About the Role:

You'll play a central role in shaping our AI strategy and driving the development and deployment of advanced AI/ML solutions. As the Manager of Machine Learning and AI, you'll be instrumental in leading two talented, multidisciplinary teams of Machine Learning Developers, Data Scientists, Data Engineers, AI Engineers, and Software Developers.

You'll collaborate closely with Product leaders and Technical leaders to ensure the seamless integration of AI/ML solutions into our product ecosystem. You will be responsible for empowering your teams to deliver impactful products that drive business outcomes and create a superior audience experience.

Responsibilities:

Team Leadership & Development

• Lead, mentor, and scale two high-performing engineering teams, fostering a culture of trust, innovation, and continuous learning.

• Empower team members (ML Developer, Data Scientist, Data Engineer, AI Engineer, and Software Developers) to achieve excellence and drive innovation in AI/ML initiatives.

• Ensure best practices in engineering for scaling ML-powered features.

Strategic AI Leadership

• Act as a thought leader on the application of AI within the enterprise's industry, providing guidance on the overall AI/ML strategy.

• Contribute to and influence the AI/ML product roadmap based on feedback from audiences and emerging trends.

End-to-End ML/AI Product Development Lifecycle 

• Guide your teams in developing and implementing an AI Engineering platform that enables the scalable deployment of machine learning models.

• Direct the team's efforts in creating and optimizing MLOps pipelines to ensure continuous deployment, integration, and monitoring of machine learning models, prioritizing scalability, efficiency, and cost-effectiveness.

• Oversee the entire lifecycle of AI software components, from development and testing to deployment and ongoing support, focusing on areas like foundation model training, LLM inference, and implementing robust guardrails.

Security & Compliance

• Provide direction on building, deploying, and supporting secure AI software, ensuring fairness, transparency, and ethical considerations are integrated throughout the development lifecycle.

• Guide the design, development, and implementation of AI models into operational workflows, with a focus on security and compliance.

Cross-Functional Collaboration

• Partner and collaborate with product, architecture, quality engineering and infrastructure to define and execute the Product roadmap.

• Communicate complex ideas clearly and effectively across disciplines and to diverse stakeholders, including senior leadership.

Qualifications:

AI Leadership and Management: You have at least seven years of experience in software or machine learning, with a minimum of three years in a leadership role. You've managed teams of data scientists, ML or software developers and have a proven track record of building and scaling AI platforms that successfully deploy ML models into production.

Technical Proficiency: You have a deep understanding of ML and deep learning frameworks like PyTorch and TensorFlow. You have extensive experience with MLOps, CI/CD pipelines, containerization, and major cloud platforms (AWS, Azure, or GCP). You're also skilled in data modeling and building robust data pipelines. You have a solid grasp of core AI concepts, including NLP, Generative AI, and LLMs.

Agile Development: You have a product-focused mindset and are comfortable working within a digital development organization using agile methodologies. You can translate complex business needs into technical solutions and drive product strategy.

Communication & Collaboration: You're an exceptional communicator who excels at leading, mentoring, and growing a team. You foster a collaborative and innovative environment and are skilled at communicating effectively with diverse stakeholders.

Mindset & Values: You're a forward-looking, adaptable leader who thrives in a fast-paced environment. You're passionate about innovation, continuous learning, and can navigate ambiguity with ease.

Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.

Candidates may be subject to skills and knowledge testing.
 

We thank all applicants for their interest, but only candidates selected for an interview will be contacted.

As part of our recruitment process, candidates who advance to the next

step will be asked to complete a background check. This includes:  

• A mandatory Criminal record check. 

• Other background checks may be conducted based on the operational requirements of the position.

CBC/Radio-Canada is committed to being a leader in reflecting our country's diversity. That's because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country. That's why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada's public broadcaster. For more information, visit the Diversity and Inclusion section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to
 
You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our corporate website. All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on conflicts of interest. In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest.

Primary Location:

Broadcast Centre 205 Wellington St. W., Toronto, Ontario, M5V 3G7

Number of Openings:

1

Work Schedule:

Full time

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