Engineering Manager - Model Platform (Remote - Canada)
Engineering Manager - Model Platform (Remote - Canada)
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Job Description
Summary
Were 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 youll 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. Youll 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 youll also play a key role in shaping the teams 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. Wed love to have you apply even if you dont feel you meet every single requirement in this posting. At Yelp were looking for great people not just those who simply check off all the boxes.
What youll do:
- Foster and build a fun diverse and inclusive culture that reflects Yelps values.
- Lead and grow a team of engineers focused on building Yelps 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 endtoend 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 shortterm delivery with longterm 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 realtime hightraffic 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 userfirst mindset when building tools and platforms.
- A Bachelors Degree or an equivalent work experience is required.
What youll get:
- Compensation range is $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.
Were 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 or.
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.
#LIRemote
Required Experience:
Manager
Employment Type
Full-Time
