Senior Machine Learning Engineer, Search & Recommendations
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer, Search & Recommendations based in Canada.
This role sits at the core of a large-scale AI system powering search, discovery, and personalization across a high-traffic consumer platform. You will help design and evolve the ranking intelligence that determines how users find and engage with products, directly influencing key outcomes such as relevance, conversion, and long-term customer value. The environment is highly collaborative, bringing together machine learning engineers, data scientists, product managers, and infrastructure teams to build unified ranking systems at scale. You will work on multi-task and multi-objective models that balance user experience, business value, and marketplace health. The role also involves advancing value-aware and causal ML approaches that move beyond short-term optimization toward long-term impact. This is a highly technical, research-driven engineering role with strong production ownership and real-world business influence.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer, Search & Recommendations based in Canada.
This role sits at the core of a large-scale AI system powering search, discovery, and personalization across a high-traffic consumer platform. You will help design and evolve the ranking intelligence that determines how users find and engage with products, directly influencing key outcomes such as relevance, conversion, and long-term customer value. The environment is highly collaborative, bringing together machine learning engineers, data scientists, product managers, and infrastructure teams to build unified ranking systems at scale. You will work on multi-task and multi-objective models that balance user experience, business value, and marketplace health. The role also involves advancing value-aware and causal ML approaches that move beyond short-term optimization toward long-term impact. This is a highly technical, research-driven engineering role with strong production ownership and real-world business influence.