Machine Learning Engineer, Growth
- San Francisco, CA
As a MLE within the Growth Data Science team, you will lead projects that help with Square’s growth. The team exists to surface the right messages to the right sellers at the right time across all our go-to-market channels (web app, in-app, notifications, sms, email, mail, sales) and product surfaces. We provide sellers with remarkable personalized experiences using machine learning/deep learning to power the best product/feature/content recommendations.
Our algorithms obtain value from our unique, rich, and growing data. We partner with business, product, operations and engineering teams to guide better decisions, automated and human, using machine learning. We’re a passionate team of specialists, statisticians, and optimizers who are resourceful in distilling questions, wrangling data, and driving impactful business decisions.
Lead design and develop scalable systems for improving the core infrastructure required by the Machine Learning applications for our rapidly growing customer base.
Collaborate with data scientists, engineers to train, deploy, and test machine learning models using state-of-the-at techniques.
Help build the next generation of data products at Square
4-5 years of relevant industry experience
A graduate degree in software engineering, computer science, machine learning, artificial intelligence, or a similar technical field.
Experience with cloud computing platforms, such as AWS, Google Cloud or Azure.
Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring.
Experience in designing and productionizing large-scale distributed systems built around machine learned models and big data.
Knowledge about real time recommendation systems is a plus.
Technologies we use:
Java, Python, Google Cloud Platform, AWS, Snowflake
Python (numpy, pandas, sklearn, xgboost, TensorFlow, etc.)
At Square, we want you to be well and thrive. Our global benefits package includes:
- Healthcare coverage
- Retirement Plans
- Employee Stock Purchase Program
- Wellness perks
- Paid parental leave
- Flexible time off
- Learning and Development resources