JOB DESCRIPTION
Summary
Yelp engineering culture is driven by our : 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, we connect people with great local businesses. We have millions of users sending us hundreds of millions of photos, videos and reviews. But have you ever wondered how we organize those reviews and photos and the insights we derive from them into data products? That’s where the core content group and mining and text intelligence team comes in.
We're looking for experienced engineers who are eager to learn and contribute to building applications using generative AI. You'll have the opportunity to work with large scale visual and textual data sets to build impactful user-facing products and features utilising the latest LLMs and ML models. You will also be responsible for the productionisation and deployment building data pipelines or ETLs to create new online and offline data products. Join us in leveraging machine learning across Yelp to create visual, textual and multi-modal models to offer new products based on our unique content. If you are enthusiastic about learning, eager to take on new challenges, and passionate about creating new ML products, we want you on our team!
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.
What you'll do:
Define problems and gather requirements in collaboration with product managers, teammates and engineering managers. Collect and curate datasets necessary to evaluate and feed the generative models. Develop and validate results of the generative AI models. Fine tune models when necessary. Productionize models for offline and / or online usage. Learn the fine art of balancing scale, latency and availability depending on the problem.
What it takes to succeed:
Good coding skills in Python or equivalent (ideally Java or C++). Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation etc). A craving to learn and use cutting edge AI technologies. Understanding of building data pipelines to train and deploy machine learning models and/or ETL pipelines for metrics and analytics or product feature use cases. Experience in building and deploying live software services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS and service oriented architecture.
What you'll get:
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.
Closing
