
Entry Level Software Engineer - Data Backend (Remote - Canada)
Yelp
Full time
Software Development
Canada
Hiring from: Canada
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.
At Yelp, our mission is to connect people with great local businesses—and behind every seamless, intuitive experience is a team of engineers making it all possible. Ever wondered how Yelp seems to know the perfect restaurant before you do? Or how it suggests the right professional—like a plumber instead of an electrician—when your heating goes out? Or how it reminds you to snap a photo of that mouthwatering dish just moments after it hits the table? That’s us: the Applied Machine Learning (AML) backend engineering team.
We’re looking for entry-level engineers who are excited to build intelligent, scalable systems that power these experiences. You’ll have the chance to work with cutting-edge technologies—including large language models (LLMs), SQL and NoSQL databases, data warehouses, batch and stream processing systems—and apply them to real-world challenges that impact millions of users.
As part of our team, you’ll help make Yelp smarter by developing practical, production-ready solutions that enhance user experiences, drive data-informed decisions, and ensure the reliability and integrity of our content. If you're passionate about learning, ready to tackle complex problems, and eager to make a tangible impact, we’d love to hear from you!
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
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 [email protected] 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.
Recruiting and Applicant Privacy Notice
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.
At Yelp, our mission is to connect people with great local businesses—and behind every seamless, intuitive experience is a team of engineers making it all possible. Ever wondered how Yelp seems to know the perfect restaurant before you do? Or how it suggests the right professional—like a plumber instead of an electrician—when your heating goes out? Or how it reminds you to snap a photo of that mouthwatering dish just moments after it hits the table? That’s us: the Applied Machine Learning (AML) backend engineering team.
We’re looking for entry-level engineers who are excited to build intelligent, scalable systems that power these experiences. You’ll have the chance to work with cutting-edge technologies—including large language models (LLMs), SQL and NoSQL databases, data warehouses, batch and stream processing systems—and apply them to real-world challenges that impact millions of users.
As part of our team, you’ll help make Yelp smarter by developing practical, production-ready solutions that enhance user experiences, drive data-informed decisions, and ensure the reliability and integrity of our content. If you're passionate about learning, ready to tackle complex problems, and eager to make a tangible impact, we’d love to hear from you!
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
- Help make features across the Yelp app smarter by creatively imbuing them with LLM-enhanced intelligence.
- Contribute to building infrastructure that supports Gen-AI driven use-cases making them reliable, scalable, and accessible for all users.
- Support the infrastructure that empowers millions of Yelp’s users to make the best decisions.
- Collaborate closely with cross functional teams, including software engineers, product managers and data scientists to identify and use the most relevant consumer and business data.
- Design, develop, and maintain Gen-AI powered tools that enhance productivity and collaboration across teams.
- Collaborate with teams across Yelp to integrate Gen-AI solutions into various products and workflows.
- Coding skills in Python or equivalent.
- Curiosity to implement innovative gen AI solutions to real world problems/products.
- Good intuition and strong prompt engineering skills.
- Experience in building and deploying live software services in production.
- Knowledge of cloud platforms and scalable infrastructure.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Familiarity with gen AI, machine learning, or tools like OpenAI APIs, LangGraph, or AWS.
- Compensation range is $85,000-122,000 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!
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 [email protected] 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.
Recruiting and Applicant Privacy Notice
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