As a Machine Learning Engineering Manager, you will be at the forefront of innovation, leading the design, development, and implementation of cutting-edge machine learning models and systems, including integration with Agentic Systems, MCP Servers, LLMs and other GenAI tools. Your leadership will directly impact millions of Canadians, shaping the way they interact with our systems and ultimately enhancing their shopping experience.In this role, you will oversee the development of advanced technologies such as Gen AI, LLMs, ML models, Vector search, and Agentic AI, constantly pushing the boundaries of what's possible. You will guide your team in working with large distributed datasets, various APIs and agentic components to inform and improve how we serve our customers. Your focus will be on building, evaluating and enhancing agentic systems using various metrics, ensuring the highest level of efficiency and accuracy. Staying abreast of the latest advancements in machine learning and related technologies is crucial, applying new knowledge to continually refine our solutions.As a manager, you will cultivate a collaborative environment where your team's ideas are valued, and they are empowered to challenge assumptions and contribute to a dynamic atmosphere. You will work closely with cross-functional teams, data scientists, and software engineers, bringing diverse perspectives to the table to deliver groundbreaking solutions. Join us in shaping the future of search and agentic technology and making a significant impact on the shopping experience for millions of Canadians.What You'll Do:- Cultivate a deep understanding of the portfolio of machine learning components and APIs we utilize, including AI, Gen AI, and LLMs, along with their respective strengths and weaknesses, to provide solutions to existing and future challenges.
- Lead the technical architecture for ML components and cross-functional ML teams, ensuring integration with advanced AI technologies.
- Translate project goals and product roadmaps into organized technical tasks, collaborating with PMs and other EMs to ensure alignment.
- Guide the team to improve AI and ML components, MLOps, and processes through your knowledge of industry trends and tools and your own experiences.
- Provide guidance and direction to the ML development team to remove obstacles and keep initiatives on target and moving forward.
- Coach and mentor developers in the team through technical design sessions, code reviews, and pair programming, with an emphasis on ML/AI practices.
- Contribute, uphold and assess engineering practices within the team.
- Construct design documents and maintain documentation to aid in project maintenance and code reuse.
- Conduct one-on-ones, performance reviews and set expectations and accountability for team members.
Does This Sound Like You?- Minimum of 7 years in software development, including substantial AI/ML experience.
- A minimum of 2 years in a leadership role and mentoring teams of AI/ML engineers.
- Proven track record in managing complex projects, including planning, execution, and delivery.
- Experience working closely with product managers, project managers, and other stakeholders.
- Deep understanding of machine learning algorithms and AI frameworks (e.g., TensorFlow, PyTorch, LangGraph, CrewAI), programming and scripting languages (e.g., Python, Java, bash) as well as xOps (e.g., github actions, terraform, airflow)
- Strong knowledge of AI/ML concepts, including advanced technologies like Gen AI, LLMs, and semantic search, along with experience in Agentic AI building and productization.
- Ability to analyze large datasets, identify trends, and evaluate model performance using various metrics.
- Ability to solve complex technical problems and drive innovation with a continuous learning mindset.
- Practical experience in release management and the production implementation of high availability AI/ML systems, ensuring reliability and scalability.
- Excellent verbal and written communication skills, capable of presenting technical concepts to audiences of different technical levels.
- Ability to adapt to changing technologies and business requirements, fostering a positive and inclusive team culture in fast pace environments.
Employment Type:Full time
Type of Role:Regular
Hiring Range / c9chelle salariale e0 l'embauche :
$170,000.00 - $220,000.00 / 170.000,00$ - 220.000,00$ (per year / par an)
A candidate's experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L'expe9rience et les connaissances d'un candidat ainsi que la re9gion ge9ographique dans laquelle le poste est situe9 peuvent eatre prises en compte dans la re9mune9ration qu'un candidat ree7oit pour ce poste. Cette offre d'emploi concerne un poste vacant existant. L'entreprise utilise l'intelligence artificielle dans le but de filtrer, d'e9valuer et/ou de se9lectionner les candidats e0 ce poste.
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