Job Description

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPals 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

Honey is a fast-growing company based in Los Angeles, and weve recently joined the PayPal family to help supercharge our mission of creating fairness and value for everyone. Weve built a community of over 20 million online shoppers and use the collective insights of our members to power an online shopping platform that allows everyone to shop smarter, together. With that, we are excited to say were hiring! We are actively seeking a Senior Machine Learning Engineer to join our Honey Offers Team in Los Angeles, CA. About the Team: As a Machine Learning Engineer, you'll drive the development of next generation search and product recommendation tools behind Honeys Shopping Assistant application. Search Team builds search and recommendation engines for a global product catalog containing tens of thousands of merchants and tens of millions of products across those merchants. You will work both in a research capacity, inventing our next generation of search tools, but also in a engineering capacity, helping to productionalize those tools to support an array of front-end client technologies. The ideal candidate is experienced both in ML/Deep Learning and in software engineering techniques including test driven development, database design, software architecture, and cloud deployment.

What You'll Do:

As a Machine Learning Engineer at Honey, you will:

* Do both research in ML models and and productionalization of those models to solve problems in search and product recommendation
* Perform feature engineering on our catalog data
* Read and follow cutting edge research in search technologies from other top companies and organizations, like Stanford, Walmart, Google, and Amazon
* Research and experiment with technologies to resolve semantic search queries
* Work with a catalog of tens of millions of products across thousands of merchants
* Strategize techniques for evaluating the success of our search engine and iterating on search result quality
* Coordinate with other important Honey teams including Product Catalog, Explore/Discovery, and Personalization

About You:

* You like to stay on top of current research trends in Deep Learning and Machine Learning
* You can evaluate when ML is the right tool for the job, and when other approaches will be more effective
* Are an expert in Machine Learning tools in Python
* Are comfortable working in TensorFlow or PyTorch, and have previously built a production system using one of those technologies
* Are familiar with data processing tools including Airflow and Dataflow
* You enjoy mentoring junior engineers in your field
* You have a working knowledge of Agile Development Practices and Scrum methodologies
* You are able to manage your time well and provide accurate time estimates
* You are someone that enjoys taking ownership and responsibility

Nice-to-Have Qualifications:

* Experience with Google Cloud Platform and Kubernetes, or other cloud platform experience (AWS, Azure)
* Experience with A/B testing and user research to evaluate product success
* Experience with performance or load testing
* Experience with Docker and/or Kubernetes

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

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