We are looking for innovative leaders to help grow the Applied Machine Learning (AML) team at Yelp and to push on high impact use cases for machine learning. The team size is small and you will work in lock step with the product team and other engineering teams to get features out the door quickly and identify promising longer-term investments. Successful Managers are passionate about Yelp, keep up with our daily release cycles, and maintain our useful, funny, cool culture during times of immense growth. It also doesn't hurt to have strong technical skills.
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 are constantly growing. Making sense of all these data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights can be hugely impactful to Yelp’s business.
AML utilizes these data to integrate machine learning into Yelp’s product and business in several ways - by directly owning several high-impact data products, collaborating cross-functionally with other engineering teams on features, and by identifying and tackling promising new areas for machine learning. This is a group that actively works on both engineering practical ML systems at scale and exploratory forays into new products and signals if the opportunity is right.
What You Will Do:
Lead a team of ML engineers and software engineers working on complex technical problems.
Partner closely with other engineering teams and product to set roadmaps and ensure project alignment/execution.
Coach and mentor engineers of all experience levels, from new graduates to senior engineers, while providing frequent and constructive feedback.
Provide technical guidance in ML projects and act as a sounding board, while rolling up your sleeves and coding alongside your team when needed.
Identify new opportunities to utilize ML in high-ROI applications within the Yelp product, especially in areas such as content personalization and recommendations.
Participate in the hiring process.
Foster and grow a fun, diverse and inclusive culture that reflects Yelp’s values.
We Are Looking For:
Previous experience as a manager or tech lead with excellent people management skills.
Deep expertise in statistical learning methods, and practical experience building out end-to-end machine learning systems.
The ability to balance near term product work with longer term research/infrastructure investments.
A passion for crafting and fostering good engineering practices.
Excellent communication skills.
Deep Understanding of your favorite modern programming or analysis language: Python, R, Java, C++, etc.
Comfort in working with a Unix environment.
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 [email protected] 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.
Yelp connects people with great local businesses. Our users have contributed approximately 127 million cumulative reviews of almost every type of local business, from restaurants, boutiques and salons to dentists, mechanics, plumbers and more. These reviews are written by people using Yelp to share their everyday local business experiences, giving voice to consumers and bringing “word of mouth” online.