Want to build cutting-edge tooling for machine learning? Ever wondered how much and which compute resources are required to train machine learning models that can classify millions of photos and reviews? Or how to automate the ML infrastructure for rapid model training and connect those models to a variety of model serving platforms including ranking and streaming systems? We’re looking for remote ML infrastructure engineers who thrive on living at the intersection of machine learning, scalable infrastructure, and massive flows of data.  

On the Core ML team, our mission is to build the machine learning platform to pursue Yelp’s top business initiatives. We build tools which help engineers develop and apply their ML models in light speed using the latest technology frameworks, such as Jupyter, Spark, Kubernetes, Kafka, and Cassandra. In many cases, we’ll contribute or drive open-source projects to help us achieve our mission, including ML model serialization and inference projects. We are also building tooling and developing processes to centralize data products and feature stores for analysts and ML needs.

Come work with and learn from our team that is full of a passionate and diverse group of engineers with years of experience spanning machine learning modeling to systems engineering. We communicate across the company, inputting ML-based needs and outputting efficient tooling and systems. As machine learning evolves, we continue to ride the wave of innovation by combining industry best practices and cutting-edge tooling to bolster Yelp’s machine learning platform. See a recent blog post giving an overview of our ML Platform. 

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

Where You Come In:

• Build the platform that powers Yelp’s top business initiatives with machine learning.
• Streamline and build new abstractions to support machine learning workflows.
• Collaborate with other teams on building centralized data & feature stores.
• Connect regularly with different internal groups for input on their ML infra and data needs.
• Gain expertise in cutting-edge machine learning infrastructure.
• Apply ML techniques to deliver models and data for high impact business problems.

What It Takes to Succeed:

• A balanced interest in machine learning, infrastructure, and data products.
• Deep understanding of the programming languages and systems you’ve worked on.
• Familiarity with tooling, including Python, Jupyter, Apache Spark, TensorFlow, Docker, Kubernetes, Flink, and Kafka.
• Minimum 2 years industry experience or an academic background in machine learning, data mining, or data infrastructure.
• Passion for architecting large systems with elegant interfaces that can scale easily.
• Excellent written and interpersonal communication skills.
• A team player who lives the Yelp Values and thrives in a diverse and inclusive work culture.

What You'll Get:

• Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
• Competitive salary with equity in the company, 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.
• £75 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.
• £56 per month to use toward qualifying wellness expenses.
• Quarterly team offsites.