
Machine Learning Engineer, Infrastructure (Trust & Safety) (Remote Canada)
- Canada
- $101,000-196,000 per year
- Permanent
- Full-time
- Design and build secure, compliant ML infrastructure and automation, adapting Yelp’s Core ML stack for our NDA protected environment.
- Develop and maintain ML and data pipelines (training, evaluation, deployment, monitoring) serving models that fight fraud and spam.
- Implement access controls and data handling protocols to safeguard sensitive data at all stages of the ML lifecycle.
- Collaborate closely within the Spam team and with NDA partner teams in Core ML and Security, aligning with best MLOps and privacy practices.
- Contribute to model development, prototyping, and experimentation as the role evolves and the team’s needs expand.
- A solid foundation in software engineering fundamentals and best practices.
- Experience with modern ML/Data Engineering tools: Python, Spark, AWS (S3, Redshift), and databases technologies (SQL/NoSQL), as well as Kubernetes.
- Proven background building or adapting ML infrastructure or MLOps tooling for internal teams.
- Deep understanding of privacy, data protection, secure engineering, and access control.
- Familiarity with ML operations (MLflow, Kubeflow, Airflow, versioning, experiment tracking, model serving, CI/CD for ML).
- Excellent communication skills, comfortable operating under NDA, and able to work proactively and discreetly on sensitive projects.
- Compensation range is $101,000-196,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
- This opportunity has the option to be fully remote in all locations across Canada.
- You can find more information about Yelp's five star benefits