Entry Level Machine Learning Engineer Remote - Canada
Entry Level Machine Learning Engineer Remote - Canada
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Job Description
Summary
At Yelp were dedicated to delivering the best search results by leveraging cuttingedge techniques in machine learning data mining and backend engineering. Our engineers play a key role in improving search ranking optimizing search data pipelines and unlocking new search capabilities by leveraging LLMs and Yelps trusted business content. Their work directly impacts millions of users by enabling smarter more intuitive search capabilities that help people discover the best local businesses with ease.
The Search Quality team is looking for an ML engineer to drive system improvements through rapid prototyping testing and scaling the next generation of Search. This role involves researching innovative methods to further enhance the quality of our search results. Youll work closely with driven and experienced engineers to orchestrate a seamless development testing and shipping experience that will help us bring our search capabilities to the next level
If you have a passion for solving complex ranking challenges scaling search infrastructure and driving innovation in search relevance wed love to have you on board!
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:
- Conduct endtoend analysesfrom data preparation using SQL or Python to statistical modeling to generating and presenting business insights.
- Work with large and complex datasets.
- Support the development and deployment of projects involving machine learned models for offline batchbased data products as well as models deployed to online realtime services.
- Productionize and automate model pipelines within Python and Java services.
- Prototype incremental improvements to existing Search Quality ML systems as well as novel approaches with LLMs.
What it takes to succeed:
- Strong coding skills in Python or equivalent (Java C).
- Solid understanding of ML fundamentals 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.
- Staying uptodate with the latest AI technologies and trends.
- Experience with machine learning using packages such as TensorFlow Spark MLlib XGBoost Sklearn etc. is a plus.
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:
Junior IC
Employment Type
Full-Time
