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Principal Machine Learning Engineer - Job Opportunity at Zynga

Toronto, Canada
Full-time
Senior
Posted: March 28, 2025
On-site
USD 123,500-182,780 per year

Benefits

Comprehensive world-class benefits package
Medical coverage
Financial benefits
Equity awards potential
Performance-based bonus structure

Key Responsibilities

Lead strategic ML initiatives and technical innovation
Provide technical leadership and mentorship to ML engineering team
Design and implement ML infrastructure and deployment pipelines
Collaborate with data science teams on model development
Maintain production ML systems at scale

Requirements

Education

Master's degree in Computer Science or related field

Experience

7+ years software development with 5+ years ML/MLOps

Required Skills

Python Golang Java SQL Spark Airflow NoSQL Data warehouse systems DataBricks AWS SageMaker Google Vertex AI Docker Kubernetes CI/CD Git
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Sauge AI Market Intelligence

Industry Trends

Gaming industry's increasing reliance on ML for player personalization and retention is driving demand for sophisticated ML infrastructure Shift towards cloud-native ML platforms and automated MLOps practices indicates evolving technical requirements Growing emphasis on real-time processing and model serving capabilities for interactive gaming experiences

Salary Evaluation

The offered salary range is competitive for the Toronto market, though slightly below similar roles in major US tech hubs. Top performers with extensive gaming industry experience could command up to USD 200,000+ with total compensation.

Role Significance

Likely leading a team of 5-8 ML engineers while collaborating with broader data science and analytics teams of 20+ members
Principal level position with significant technical leadership responsibilities and strategic influence on ML infrastructure decisions

Key Projects

Building scalable ML infrastructure for real-time game analytics Implementing automated MLOps pipelines for model deployment Developing player behavior prediction systems Creating infrastructure for A/B testing and feature experimentation

Success Factors

Deep understanding of ML systems at scale Strong technical leadership and team mentoring capabilities Ability to bridge technical and business requirements Experience with high-throughput, low-latency systems

Market Demand

Very high demand, particularly in the gaming sector where ML expertise intersects with real-time systems and user behavior analysis

Important Skills

Critical Skills

MLOps expertise for maintaining production ML systems Distributed systems knowledge for scaling ML infrastructure Strong programming skills in Python and cloud platforms Technical leadership and team management capabilities

Beneficial Skills

Gaming industry experience Real-time processing systems A/B testing methodologies User behavior analytics

Unique Aspects

Opportunity to impact millions of daily active users
Exposure to cutting-edge ML applications in gaming
Complex real-time data processing challenges
Balance of technical leadership and hands-on development

Career Growth

2-4 years in role before advancement, depending on business impact and team growth

Potential Next Roles

Director of Machine Learning Chief Data Officer Technical Architecture Leader VP of Engineering

Company Overview

Zynga

Zynga, now part of Take-Two Interactive, is a leading mobile gaming company with over 6 billion game downloads globally

Major player in mobile gaming with significant market share and resources for technical innovation
Toronto office represents strategic technical hub with focus on ML infrastructure
Fast-paced, data-driven environment with emphasis on technical excellence and innovation
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