Lead Machine Learning Engineer - Search & Recommendations

TL;DR

Lead Machine Learning Engineer - Search & Recommendations: Designing and building personalized memory systems for Search and Recommendations to improve user intent, preferences, and evolving needs across interactions. Focus on memory modeling, retrieval, ranking, and personalization, specifically on learning and applying personalized memory representations and integrating memory-driven signals into ML pipelines.

Location: Onsite in Toronto, Ontario, Canada

Company

hirify.global connects businesses with global, AI-enabled talent through its Marketplace and Lifted platforms, facilitating over $30 billion in total transactions.

What you will do

• Design and build personalized memory systems for Search and Recommendations.
• Develop user-, session-, and interaction-level memory representations.
• Integrate memory-driven signals into retrieval and ranking pipelines.
• Model temporal dynamics of user behavior for personalization features.
• Train and evaluate memory-aware ranking and personalization models.
• Partner with conversational and LLM-assisted search teams.
• Productionize memory-driven ML systems with an emphasis on latency, scalability, observability, and experimentation.
• Provide technical leadership, mentorship, and shared best practices.

Requirements

• Demonstrated experience building and deploying search or recommendation systems in production with measurable impact on relevance, engagement, or conversion metrics.
• Strong foundation in retrieval and ranking systems, including candidate generation, re-ranking, and offline and online evaluation techniques.
• Practical experience modeling personalization and behavioral memory, including user intent, preferences, temporal dynamics, and signal tradeoffs.
• Solid machine learning engineering skills across the full lifecycle, including pipelines, experimentation, deployment, and inference at scale.
• Comfort operating in ambiguity, with the ability to define open-ended problems, design experiments, and iterate based on data.

Nice to have

• Experience contributing to applied research, publications, or experimentation in search, recommendation, or applied machine learning.

Culture & Benefits

• Work as part of hirify.global’s team, with access to resources, culture, and growth opportunities (initially through a partner).
• Commitment to recruiting and retaining a diverse and inclusive workforce.
• Equal Opportunity Employer.
• The company conducts an individualized assessment for criminal background checks.