Machine Learning Engineer, Modeling
- Oakland, CA, United States
- Employees can work remotely
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
As a machine learning engineer on the Marketing ML team, you will lead projects that drive Square’s growth. Sending the right marketing messages to the right Sellers is critical to ensuring that our sellers have remarkable, personalized experiences and that every marketing dollar gets the maximum possible return on investment. Our team achieves these goals by leveraging machine learning and deep learning across marketing channels such as Display, Paid Search, Social, Direct Mail, and more. Success of our machine learning models has a proven track record of providing value for our marketing stakeholders, improving the experience of our sellers, and driving Square’s business forward through customer growth.
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.
Develop scalable machine learning solutions for improving the seller experience and performance of Square’s marketing initiatives.
Collaborate with data scientists, product managers, and other MLEs to train, deploy, and test machine learning models using state-of-the-art techniques.
Help build the next generation of data products at Square.
4-5 years of relevant industry experience
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 with ML-driven marketing (e.g. interfacing with ad exchanges, attribution modeling, ROI analyses, budget projection/allocation) is a strong plus but not required.
Ability to partner closely with cross functional stakeholders, and explain complex technical concepts in a clear and easy-to-understand way.
Technologies we use:
Python (numpy, pandas, sklearn, PyTorch, xgboost, etc.)
Google Cloud Platform, AWS, Snowflake, Docker, MLFlow, Prefect
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
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
- Paid time off
- Learning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.