Principal Machine Learning Engineer Job at Lime

Principal Machine Learning Engineer

Lime

Location:
Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

192000.00 - 264000.00 CAD / Year

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Job Description:

Lime is hiring a Principal Machine Learning Engineer to join the Data Science & Analytics team and build our Machine Learning Center of Excellence. In this role, you will be a senior individual contributor reporting to the Head of Data and partnering with senior software engineering leadership across Lime’s technology teams. This role will be responsible for shaping how machine learning is built, deployed, and operated across Lime. You will set technical direction and standards for ML infrastructure, featured development, and model lifecycle management. This role blends deep hands-on work with significant cross-team leadership and influence.

Job Responsibility:

Drive alignment across teams on ML strategy, standards, and long-term technical direction by serving as a technical leader for Lime’s ML Center of Excellence
Guide recommendations for ML infrastructure, tooling, and architecture (training, serving, feature stores, experimentation, monitoring)
Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
Establish best practices for ML monitoring, observability, alerting, and model performance health in production
Drive reusable feature development patterns and shared ML capabilities that enable teams to move faster and more safely
Partner with platform, data, and product engineering teams to ensure ML systems are reliable, scalable, and cost effective
Identify and prioritize opportunities where ML will improve Lime’s product, operations, or efficiency
Act as a force multiplier by mentoring data scientists and machine learning engineers, raising the quality bar for machine learning across Lime

Requirements:

8+ years of professional experience in software engineering or applied ML, with a record of delivering production level systems
Fluency in Python
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
Strong foundation in ML fundamentals, including model evaluation, experimentation, optimization, production deployment, and operations
Strong system design skills and comfort working with distributed systems
Track record of influencing ML architecture and practices across multiple teams

Nice to have:

Background in domains relevant to Lime (e.g., forecasting, optimization, pricing, marketplace dynamics)
Prior experience building a ML platform or center of excellence through defining ML standards, governance, or shared tooling at scale

What we offer:

Offers Equity
Offers Bonus

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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