Staff Machine Learning Software Engineer (Toronto)

Staff Machine Learning Software Engineer (Toronto)

27 Aug
|
Jobtailor
|
Toronto

27 Aug

Jobtailor

Toronto

Develop and oversee implementation of strategic AI roadmaps aligned with organizational objectives and deliver innovative solutions for complex business challengesDirect cross functional collaboration, building strong relationships to drive impactful outcomes and influence enterprise strategiesLead multiple AI focused initiatives, ensuring operational efficiency, resource optimization, and alignment with corporate strategic plansProvide strategic direction and leadership to teams, ensuring successful execution of high impact AI projects and contributing to long term objectivesManage AI Engineering initiatives of significant complexity, applying advanced technical expertise to solve abstract problemsMake independent decisions on program, technical or operational strategy for the departmentDrive innovation across areas of responsibility identifying opportunities for operational changes and practicesLead cross functional collaboration efforts, fostering robust internal relationships across the organization and external relationships to drive business outcomesRequirementsBachelor's degree in Computer Science, Statistics, Math, Engineering or a related technical field10+ years of experience leading high-impact machine learning solutions in a product-centric environmentExperience managing/mentoring high-performing teams of data scientists and engineersProven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholdersDeep expertise in machine learning, statistics,



and data science with experience in optimization, A/B testing, and causal inferenceDeep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelinesExceptional communication skills and ability to translate complex concepts to diverse audiencesDemonstrated a mastery of end-to‑end ML system ownership in production environments, including model design, feature engineering, model architecture, drift detection, and serving infrastructure at scaleProven ability to lead cross‑functional technical initiatives by coordinating with diverse stakeholder groups.Core CompetenciesDemonstrates expertise in leading high-impact machine learning solutions and managing complex AI engineering initiatives. Proven ability to drive innovation and operational efficiency while fostering cross-functional collaboration and stakeholder engagement.Highest-signal resume keywordsMachine Learning ExpertiseAI Engineering ManagementCross-Functional CollaborationEnd-to-End ML System OwnershipStrategic Direction and LeadershipATS Optimization KeywordsHard SkillsMachine LearningStatisticsData ScienceOptimizationA/B TestingCausal InferenceModel DesignFeature EngineeringModel ArchitectureDrift DetectionSoft SkillsExceptional CommunicationStakeholder EngagementIndustry KeywordsAI RoadmapsOperational EfficiencyResource OptimizationHigh-Impact ProjectsResearch and Development LifecycleTools & TechnologiesModel Serving PlatformsFeature StoresData Pipelines#J-18808-Ljbffr

📌 Staff Machine Learning Software Engineer (Toronto)
🏢 Jobtailor
📍 Toronto

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