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Job Snapshot
-
Employee Type:
Full-Time -
Location:
Stockholm - Jakobsbergsgatan -
Job Type:
-
Experience:
Not Specified -
Date Posted:
3/26/2021 -
Job ID:
R0067404
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 PayPal’s 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.In 2018, Zettle became part of the PayPal family. Zettle is on a mission to help small businesses succeed in a world of giants. Tens of millions of small businesses worldwide are still being underserved by the traditional players. By giving small businesses the tools to get paid, sell smarter, and grow, we’re empowering them to reach their full potential. Together with PayPal, we can reach 24 million merchants across the world with more of the affordable tools they need to thrive.
We are looking for curious and engaged Machine Learning Engineers to join our team. Are you passionate about hands-on applications of machine learning, enjoy solving business problems and seeing the measurable impact of your work? Do you believe in empowering small businesses around the world to succeed? Join our Machine Learning team in Stockholm.
As a Machine Learning Engineer at Zettle
you collaborate with multi-functional product teams on end-to-end data projects: defining goals, implementing ML solutions, integrating them and evaluating the impact
you develop and ship machine learning solutions for automatic predictions and decisions, and personalized user experiences.
you contribute to improving and maintaining our common tools and infrastructure.
you also have a team of extraordinary colleagues to help figure out problems and share best practices and learnings.
you will continuously learn together, through our biweekly learning day dedicated solely to learning something new, and by attending conferences and events.
We hire people. Not CVs.
As a Machine Learning Engineer, you will join a team that works across the organization using machine learning to build intelligence into our products, optimizing internal processes and continuously delighting Zettle sellers. We are a thoughtful crowd of people from 4 countries who value learning, sharing and like to team up when tackling problems. If (when!) you get stuck, your team members will be just a coffee away.
You will be a powerful addition to the Zettle team if...
you have hands-on experience of implementing production machine learning systems, and a solid understanding of ML theory.
you write production-grade code following software engineering best practices, such as maintaining high test coverage, well documented and readable code.
you are comfortable working in cross functional teams and on products with short development cycles and quickly evolving priorities.
you are fluent in Python and open to learning new languages.
you are pragmatic, product-focused, and passionate about the end results, not just the techniques used to get there.
you are comfortable explaining complex results, models, and methods to both technical and non-technical audiences.
Additionally, if you have used data pipelining tools such as Apache Spark or Apache Beam/Google DataFlow, in an AWS or GCP environment, let us know. If not, we will be happy to help you get started.
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.
R0067404