Best Yelp Remote Jobs (Senior Machine Learning Engineer )
FULL-TIME
FULL-STACK PROGRAMMING
ANYWHERE IN WORLDWIDE
“Are you enthusiastic about making meaningful contributions to Yelp Careers and ready for an exciting challenge? If you’re thrilled about Yelp remote job opportunities.”
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More about Yelp Careers
This Post is written only for Yelp Career Opportunities
Yelp Inc. is an American company that develops the Yelp.com website and the Yelp mobile app, which publishes crowd-sourced reviews about businesses. It also operates Yelp Guest Manager, a table reservation service. It is headquartered in San Francisco, California.
Yelp was founded in 2004 by former PayPal employees Russel Simmons and Jeremy Stoppelman. It has since become one of the leading sources of user-generated reviews and ratings for businesses. Yelp grew in usage and raised several rounds of funding in the following years. By 2010, it had $30 million in revenue, and the website had published about 4.5 million crowd-sourced reviews. From 2009 to 2012, Yelp expanded throughout Europe and Asia. In 2009, it entered unsuccessful negotiations to be acquired by Google.
This Post is written only for Yelp Career Opportunities
Summary Of Yelp Remote Job
Yelp’s 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 in 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.
Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As an ML engineer, you will have the opportunity to foster these connections across millions of users and business listings using cutting-edge industry tools such as neural networks (NNs), large language models (LLMs), and traditional ML methods like XGBoost or linear models. You’ll be responsible for turning raw data into valuable signals and building the ML system end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on or MLOps.
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.
What you'll do at Yelp Careers (Senior Machine Learning Engineer )
- Conduct end-to-end analyses, wrangling data via SQL or Python, statistical modeling, to hypothesizing and presenting business ideas.
- Work with large and complex datasets.
- Lead the development and deployment of projects involving machine-learned models for offline, batch-based data products as well as models deployed to online, real-time services.
- Provide technical mentorship and coaching to the team members.
- Work in areas such as home feed, search, ads targeting, spam, and photo understanding.
- Productionize and automate model pipelines within Python services.
- Drive and advocate the adoption of best practices in MLOps (Machine Learning Operations).
Also Apply For
What it takes to succeed:
- Experience developing and productionizing machine learning models, including their supported data pipeline.
- Experience with machine learning using packages such as TensorFlow, Spark MLlib, XGBoost, Sklearn, etc.
- Strong coding skills in Python or equivalent (Python, Java, and C++).
- Solid understanding of engineering and infrastructure best practices.
- The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
What you'll get:
- 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!
- The compensation range is $111,000 – $236,000 annually. You may also be offered restricted stock units and benefits.
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