Are you intrigued by data? 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.

As a Machine Learning Engineer within the Ads group, you will be joining a team that is responsible for optimizing the delivery of ads outside of the Yelp platform. In this role you will turn raw data into valuable signals by building elegant, scalable systems that use data warehouses, batch processing, and stream processing solutions.

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.

This opportunity requires you to be located in the United Kingdom. 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.

• Develop reliable, scalable, and maintainable systems that will power data-intensive applications such as relevance/targeting models, optimal pricing & allocation policies, and auction bidding strategies.
• Independently manage and lead software development projects.
• Work closely with software engineers, applied & data scientists, product managers, and other business stakeholders in mid-to-large cross-functional projects.
• Act as a bridge between applied and data scientists who may not have experience building scalable systems, and generalist backend engineers who may lack experience with ML or other mathematical/statistical model-based systems.

• Expertise in Python.
• Experience with Spark, cloud (AWS), and microservices (Docker, Kubernetes).
• Experience building ranking models, recommender systems / recommendation algorithms, or working in personalization or targeting.
• The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.

• Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
• Competitive salary, a pension scheme, and an optional employee stock purchase plan.
• 25 days paid holiday (rising to 29 with service), plus one floating holiday.
• £150 monthly reimbursement to help cover remote working expenses.
• £81 caregiver reimbursement to support dependent care for families.
• Private health insurance, including dental and vision.
• Flexible working hours and meeting-free Wednesdays.
• Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage
• your career growth. 
• Opportunities to participate in digital events and conferences.
• £81 per month to use toward qualifying wellness expenses.
• Quarterly team offsites.

Yelp values diversity. 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.

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.

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