Machine Learning Engineer

San Francisco • $115k - $220k • 0.0% - 0.0%

Yelp


Role Location

  • San Francisco

Compensation

  • $115k - $220k
  • 0.0% - 0.0%

Employees

501+ people

Address

140 New Montgomery St Ste 900
San Francisco, CA, 94105, US

Tech Stack

  • Python

Role Description

Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers–and all of these numbers are constantly growing. Yelp’s machine learning engineers turn raw data into valuable signals by building end-to-end ML systems, from feature ETL to deploying predictive models in production, as well as by building the ML platforms that these models rely on. These systems power applications like search ranking, ads targeting, push notifications, and photo understanding. Our data teams banter about Bandits, know their way down a Gradient, and aren’t too Naïve to kick back in our Bay(es) Area offices.

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages “unboring” solutions to problems. We enable all new team members to deploy working code their first week, and your impact will only grow from there with the support of your manager, mentor, and team. At the end of the day, we are all about helping our users, growing as engineers, and having fun in a collaborative environment.

What You Will Do: Conduct end-to-end analyses, from wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas. Work with large, complex datasets. Lead the development of machine learned models for offline, batch-based data products as well as models deployed to online, real-time services. Work in areas such as search, ads targeting, spam, and photo understanding. Productionize and automate model pipelines within Python services.

We Are Looking For: Experience with data ETL and data analysis packages and workflows (SQL, MapReduce, Spark, etc.). Experience with machine learning using packages such as xgboost, sklearn, TensorFlow, etc. A love for writing beautiful and maintainable code. The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal. Comfort in using a Unix environment.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 or disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 accommodations-recruiting@yelp.com or 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.

About Yelp

Yelp connects people with great local businesses. Our users have contributed over 100 million reviews of almost every type of local business, from restaurants, boutiques and salons to dentists, mechanics, plumbers and more. Our business revolves around the connections made between the consumers who read and write reviews and the local businesses that they describe. Yelp was founded in San Francisco in July 2004.

Company Culture

Our culture is very much focused on collaboration and mentorship. We ensure that everyone gets support and the opportunity to grow their career within Yelp. We have several Employee Resource Groups at Yelp that encourage Diversity and Inclusion and offer opportunities to grow your skill sets both personally and professionally thanks to programming focussed around mentoring, public speaking, allyship etc. Yelp cares truly about our community and you can see that naturally reflected in our culture.

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