Summary Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you passionate about building AI/ML/LLM-powered systems that help safeguard the authenticity &amp; the integrity of a platform used by millions? Are you passionate about protecting users from fake reviews and deceptive behaviors? Yelp’s Trust &amp; Safety is seeking a Machine Learning Engineer with an infrastructure focus for the Spam team, the team behind Yelp’s review recommendation software. You’ll be shaping our ML infrastructure and, over time, contribute to core machine learning model development and experimentation. Due to our work’s sensitivity, our team operates under strict internal non-disclosure agreements (NDA), collaborating only with select NDA partners. This role is focused on building and adapting ML infrastructure specifically for the Spam team, ensuring both privacy and compliance. This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes. What youll do: 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. What it takes to succeed: 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. What youll get: 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 Yelps five star benefits here! Closing At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.” We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status. We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. #LI-Remote Recruiting and Applicant Privacy Notice 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.