Staff Machine Learning Software Engineer (Toronto)

Staff Machine Learning Software Engineer (Toronto)

05 Aug
|
Jobtailor
|
Toronto

05 Aug

Jobtailor

Toronto

- 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 robust 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

#J-18808-Ljbffr

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

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