Staff Machine Learning Software Engineer

Jobtailor

Toronto

On-site

CAD 180,000 - 260,000

Full time

14 days+

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Job summary

Jobtailor is seeking an experienced AI leader to architect and oversee strategic AI roadmaps aligned with business objectives. You will direct cross-functional teams, drive multiple AI initiatives, and ensure efficient resource use while shaping enterprise strategies.

The role requires deep ML expertise and a proven track record in production ML systems. The ideal candidate will mentor data scientists and engineers, translate complex concepts for diverse audiences, and lead initiatives across

Qualifications

  • Candidates should have a strong background in building and leading ML/AI solutions in product-focused environments.
  • Experience mentoring data scientists and engineers to deliver high-impact outcomes.
  • Proven ability to drive R&D from prototyping to production with stakeholder engagement.
  • Deep expertise in machine learning, statistics, data science, optimization, A/B testing, and causal inference.
  • Experience with production ML infra including model serving, feature stores, and data workflows.
  • Excellent communication for translating complex concepts to diverse audiences.

Responsibilities

  • Develop and oversee implementation of strategic AI roadmaps aligned with objectives.
  • Direct cross-functional collaboration to drive impactful outcomes and influence enterprise strategies.
  • Lead multiple AI initiatives ensuring operational efficiency and resource optimization.
  • Provide strategic direction and leadership to teams for high-impact AI projects.
  • Manage AI engineering initiatives of significant complexity and technical depth.
  • Make independent decisions on program and operational strategy for the department.
  • Drive innovation and identify opportunities for operational changes and best practices.
  • Foster cross-functional relationships to drive business outcomes.

Skills

Machine Learning
AI Engineering Management
Cross-Functional Collaboration
End-to-End ML System Ownership
Strategic Direction and Leadership
Stakeholder Engagement
Communication Skills

Education

Bachelor's degree in Computer Science, Statistics, Math, Engineering

Tools

Model Serving Platforms
Feature Stores
Data Pipelines

Job description

  • Develop and oversee implementation of strategic AI roadmaps aligned with organizational objectives and deliver innovative solutions for complex business challenges
  • Direct cross functional collaboration, building strong relationships to drive impactful outcomes and influence enterprise strategies
  • Lead multiple AI focused initiatives, ensuring operational efficiency, resource optimization, and alignment with corporate strategic plans
  • Provide strategic direction and leadership to teams, ensuring successful execution of high impact AI projects and contributing to long term objectives
  • Manage AI Engineering initiatives of significant complexity, applying advanced technical expertise to solve abstract problems
  • Make independent decisions on program, technical or operational strategy for the department
  • Drive innovation across areas of responsibility identifying opportunities for operational changes and practices
  • Lead cross functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes
Requirements
  • Bachelor's degree in Computer Science, Statistics, Math, Engineering or a related technical field
  • 10+ years of experience leading high-impact machine learning solutions in a product-centric environment
  • Experience managing/mentoring high-performing teams of data scientists and engineers
  • Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders
  • Deep expertise in machine learning, statistics, and data science with experience in optimization, A/B testing, and causal inference
  • Deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines
  • Exceptional communication skills and ability to translate complex concepts to diverse audiences
  • Demonstrated 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 scale
  • Proven ability to lead cross‑functional technical initiatives by coordinating with diverse stakeholder groups.
Core Competencies

Demonstrates 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 keywords
  • Machine Learning Expertise
  • AI Engineering Management
  • Cross-Functional Collaboration
  • End-to-End ML System Ownership
  • Strategic Direction and Leadership
ATS Optimization Keywords
Hard Skills
  • Machine Learning
  • Statistics
  • Data Science
  • Optimization
  • A/B Testing
  • Causal Inference
  • Model Design
  • Feature Engineering
  • Model Architecture
  • Drift Detection
Soft Skills
  • Exceptional Communication
  • Stakeholder Engagement
Industry Keywords
  • AI Roadmaps
  • Operational Efficiency
  • Resource Optimization
  • High-Impact Projects
  • Research and Development Lifecycle
Tools & Technologies
  • Model Serving Platforms
  • Feature Stores
  • Data Pipelines
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