Job Description
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.
We’re looking for an Engineering Manager who is excited to lead with empathy, build with purpose and help shape the future of machine learning at Yelp. If you are passionate about scalable infrastructure and love empowering teams to do their best work, this might be the role for you.
As the Engineering Manager for our Model Platform team, you’ll lead the group responsible for building and maintaining the infrastructure that powers machine learning across the company. This includes the systems that enable teams to train, deploy and monitor models at scale - supporting a wide range of technologies like XGBoost, TensorFlow, and PyTorch.
Our foundational ML capabilities support a wide range of use cases at Yelp, including Ads, Search, and beyond. You’ll collaborate closely with applied ML teams and infrastructure partners to understand customer needs, accelerate adoption of platform tools, and unlock new ML capabilities. Along the way, you’ll also play a key role in shaping the team’s roadmap, mentoring engineers, and fostering a culture of ownership, innovation, and continuous learning.
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 you'll do:
Foster and build a fun, diverse, and inclusive culture that reflects Yelp’s values.
Lead and grow a team of engineers focused on building Yelp’s ML training and serving infrastructure.
Drive the development of scalable, unified, and automated ML systems.
Partner with customer teams to support onboarding, migration, and adoption of Model Platform tools.
Ensure platform reliability and performance by guiding upgrades to core components (e.g., Spark, TensorFlow, CUDA, Java).
Improve model observability and inference quality through better monitoring, benchmarking, and testing.
Collaborate with the DevOps teams who work on Feature Store and Spark & Jupyter to deliver end-to-end ML workflows.
Provide technical guidance and mentorship to engineers, and support their career growth through regular feedback and development planning.
Contribute to strategic planning and roadmap development, balancing short-term delivery with long-term investments in ML infrastructure.
What it takes to succeed:
Ideally 2 years of experience as an Engineering Manager or Technical Lead, in ML infrastructure, ML Ops, or platform engineering.
A strong understanding of the full ML lifecycle — from feature engineering and model training to deployment and monitoring.
Experience building and scaling ML infrastructure in production environments.
Familiarity with modern ML frameworks (e.g., TensorFlow, XGBoost) and infrastructure tools (e.g., Spark, MLflow, Kubernetes).
Systems thinking mindset, with the ability to design for performance, reliability, and scalability — especially in real-time, high-traffic environments.
Experience with ML Ops best practices, including model versioning, CI/CD for ML, feature stores, and observability.
An interest in improving developer experience and a user-first mindset when building tools and platforms.
A Bachelor’s Degree or an equivalent work experience is required.
What you'll get:
Compensation range is $181,000-270,000 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 here!
Closing
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, ****** 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, ****** 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 [email protected] or 1-415-+6+-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
We’re looking for an Engineering Manager who is excited to lead with empathy, build with purpose and help shape the future of machine learning at Yelp. If you are passionate about scalable infrastructure and love empowering teams to do their best work, this might be the role for you.
As the Engineering Manager for our Model Platform team, you’ll lead the group responsible for building and maintaining the infrastructure that powers machine learning across the company. This includes the systems that enable teams to train, deploy and monitor models at scale - supporting a wide range of technologies like XGBoost, TensorFlow, and PyTorch.
Our foundational ML capabilities support a wide range of use cases at Yelp, including Ads, Search, and beyond. You’ll collaborate closely with applied ML teams and infrastructure partners to understand customer needs, accelerate adoption of platform tools, and unlock new ML capabilities. Along the way, you’ll also play a key role in shaping the team’s roadmap, mentoring engineers, and fostering a culture of ownership, innovation, and continuous learning.
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 you'll do:
Foster and build a fun, diverse, and inclusive culture that reflects Yelp’s values.
Lead and grow a team of engineers focused on building Yelp’s ML training and serving infrastructure.
Drive the development of scalable, unified, and automated ML systems.
Partner with customer teams to support onboarding, migration, and adoption of Model Platform tools.
Ensure platform reliability and performance by guiding upgrades to core components (e.g., Spark, TensorFlow, CUDA, Java).
Improve model observability and inference quality through better monitoring, benchmarking, and testing.
Collaborate with the DevOps teams who work on Feature Store and Spark & Jupyter to deliver end-to-end ML workflows.
Provide technical guidance and mentorship to engineers, and support their career growth through regular feedback and development planning.
Contribute to strategic planning and roadmap development, balancing short-term delivery with long-term investments in ML infrastructure.
What it takes to succeed:
Ideally 2 years of experience as an Engineering Manager or Technical Lead, in ML infrastructure, ML Ops, or platform engineering.
A strong understanding of the full ML lifecycle — from feature engineering and model training to deployment and monitoring.
Experience building and scaling ML infrastructure in production environments.
Familiarity with modern ML frameworks (e.g., TensorFlow, XGBoost) and infrastructure tools (e.g., Spark, MLflow, Kubernetes).
Systems thinking mindset, with the ability to design for performance, reliability, and scalability — especially in real-time, high-traffic environments.
Experience with ML Ops best practices, including model versioning, CI/CD for ML, feature stores, and observability.
An interest in improving developer experience and a user-first mindset when building tools and platforms.
A Bachelor’s Degree or an equivalent work experience is required.
What you'll get:
Compensation range is $181,000-270,000 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 here!
Closing
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, ****** 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, ****** 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 [email protected] or 1-415-+6+-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
💡 Quick Summary
Seeking a career-building opportunity? The Engineering Manager - Model Platform (Remote - Canada) position is now open for candidates interested in the Work from home Jobs sector. This role in Edmonton offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
