Senior Machine Learning Engineer - Spam

Senior Machine Learning Engineer - Spam

This job is no longer open
Yelp has billions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers—all of which are constantly growing. Our machine learning engineers turn raw data into valuable signals by building end-to-end ML systems from feature ETLs, as well as deploying predictive models in production and building the ML platforms that those models rely on. These systems power applications like search ranking, ads targeting, push notifications, and photo understanding.

The Spam team is responsible for ensuring that Yelp is a safe platform to use and reflects real user experiences by leveraging machine learning techniques. 

Yelp 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 your impact will only grow from there with the support of your manager, mentor, and team. 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 Republic of Ireland.

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.

Where You Come In:

    • 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.
    • Provide technical mentorship and coaching to team members.
    • Work in areas such as search, ads targeting, spam, and photo understanding.
    • Productionize and automate model pipelines within Python services.
    • Drive and lead adoption of MLOps best practices.

What It Takes to Succeed:

    • Experience with data ETL and data analysis packages and workflows (SQL, MapReduce, Spark, etc.), as well as communicating these results with stakeholders.
    • Strong coding skills in Python or an equivalent programming language. 
    • Solid understanding of software engineering best practices.
    • Experience developing and productionizing machine learning models using packages such as xgboost, Sklearn, TensorFlow, Spark MLlib, etc.
    • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
    • Working together with stakeholders to detect the best business value opportunities and translating them into machine learning solutions. 

What You'll Get:

    • Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
    • Competitive salary with eligibility for a pension scheme, and an optional employee stock purchase plan.
    • You may also be offered a bonus, Restricted Stock Units, and benefits.
    • A competitive benefits package that includes paid time off, wellbeing programs, wellness and remote work reimbursement and more.
    • 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.
    • Quarterly team offsites.
This job is no longer open
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