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Toptal
Machine Learning EngineerToptal • Toronto, Canada
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Machine Learning Engineer

Machine Learning Engineer

Toptal • Toronto, Canada
8 days ago
Job type
  • Full-time
Job description
We are a global media and tech company that connects people to their passions. We reach nearly 900M people around the world, bringing them closer to what they love—from finance and sports to shopping, gaming and news—with the trusted products, content, and tech that fuel their day.

About the Role We are looking for a

Senior Machine Learning Engineer

to design and scale personalization systems that power contextual ad rendering and recommendation experiences.

This role focuses on building

production-grade, low-latency ML systems

that leverage user signals and smart insights to improve relevance, engagement, and yield—while maintaining strong privacy, security, and compliance standards.

What You'll Do

Design and implement

scalable end-to-end ML systems and infrastructure

for personalization and ranking use cases

Build and optimize classification, ranking, and contextual models

Develop and productionize models with ownership across the full ML lifecycle (training, evaluation, deployment, monitoring)

Build and maintain ML pipelines, feature stores, and model monitoring systems

Optimize ML systems for

low-latency, high-availability production environments

Improve model and system performance (latency, throughput, quantization, pruning, system bottlenecks)

Develop privacy-safe data pipelines and ensure secure handling of sensitive user signals

Support experimentation frameworks (A/B testing) to improve business metrics such as engagement and yield

Partner with cross-functional teams to deliver reliable, scalable ML solutions at scale

Required Qualifications

6+ years of experience in Machine Learning Engineering or ML Systems Engineering

Recent hands-on experience designing and deploying scalable ML systems (within last 12 months)

Strong experience with:

Machine learning algorithms and statistical modeling

Recommendation systems, ranking, or contextual personalization

End-to-end model lifecycle management in production

ML infrastructure, pipelines, and monitoring

Experience optimizing ML inference for performance and scale

Strong programming skills in

Python

(Java is a strong plus)

Hands‑on experience with

TensorFlow

or

PyTorch

Experience with distributed systems, streaming architectures, or high‑availability microservices

Experience with containerization and orchestration tools (Docker, Kubernetes)

Knowledge of CI/CD and infrastructure tools

Nice to Have

Experience with IaC

Experience in AdTech, large-scale consumer platforms, or marketplace systems

Experience operating ML systems in PII-heavy or regulated environments

Familiarity with privacy-preserving ML techniques (tokenization, anonymization, differential privacy)

Experience optimizing models for revenue, CTR, or conversion metrics

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Machine Learning Engineer • Toronto, Canada

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