Head of Machine Learning

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Machine Learning based in Canada. This is a senior engineering leadership role responsible for shaping and advancing machine learning initiatives across a high-growth technology environment. You will lead the development of ML-powered products that help businesses make smarter, more personalized customer engagement decisions. The role combines technical leadership, product strategy, team building, and hands-on influence over engineering standards. You will tackle complex challenges spanning personalization, recommendation systems, identity resolution, generative AI, and large-scale ML infrastructure. Working closely with engineering and product stakeholders, you will establish a strong technical vision while maintaining a pragmatic focus on business impact. This is an opportunity to build and scale an emerging ML function with significant ownership and long-term influence.

Lead the technical vision, roadmap, and execution of machine learning products and initiatives, balancing ambitious innovation with pragmatic engineering decisions. Guide the development of ML-powered capabilities such as personalization, product recommendations, probabilistic identity resolution, and generative AI. Oversee the design and evolution of scalable machine learning infrastructure supporting model training and inference for large enterprise customers. Improve the team's pace of execution through strong technical leadership, effective prioritization, and removal of organizational or engineering obstacles. Establish and maintain high standards for reliability, operational excellence, incident management, and production readiness. Build and grow the machine learning organization by identifying hiring needs, designing effective evaluation processes, and attracting high-impact talent. Mentor engineers and managers, support career development, and foster a highly engaged, collaborative, and intellectually curious team culture. Partner with product and engineering leadership to identify high-value opportunities where machine learning can create meaningful customer and business impact. Requirements Significant experience leading engineering or machine learning teams, with a strong track record of delivering technically complex products or platforms. Deep expertise in machine learning and familiarity with areas such as recommendation systems, personalization, identity resolution, generative AI, or large-scale model infrastructure. Strong software engineering foundations and the ability to engage credibly in technical architecture, system design, and engineering trade-offs. Experience building and scaling reliable ML systems for production environments, including model training and inference infrastructure. Demonstrated ability to translate ambiguous or complex problems into clear technical strategies, product roadmaps, and measurable outcomes. Strong people leadership skills, including hiring, mentoring, performance management, and developing high-performing engineering teams. Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and other business functions. A pragmatic, impact-oriented mindset with the judgment to balance technical excellence, execution speed, reliability, and business priorities. Intellectual curiosity and enthusiasm for exploring emerging technologies, particularly advances in machine learning and large language models. Benefits Competitive annual salary range of $230,000–$400,000 USD , with compensation designed to be location-independent under a remote-first model. Meaningful equity compensation. Fully remote work environment across North America. Significant ownership and influence over the direction of machine learning initiatives and products. Opportunity to solve complex ML challenges involving personalization, recommendations, identity resolution, generative AI, and scalable infrastructure. Strong emphasis on professional growth, technical impact, and leadership development. Opportunity to build and scale a high-impact machine learning organization within a rapidly growing technology environment.