Machine Learning Engineer

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 305 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, iZettle became part of the PayPal family. iZettle 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. Join us in putting an end to the ordinary way the world defines financial freedom.

We’re 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 Data Science team in Stockholm.

As a Machine Learning Engineer at iZettle

• you develop and ship machine learning solutions for automatic predictions and decisions, and personalises user experiences
• you partner with product/business owners and lead data projects end-to-end: recognising opportunities, defining metrics and goals, implementing ML solutions, and evaluating the impact
• you embed within multi-functional product teams to collaborate on implementing and integrating solutions
• you also have a team of extraordinary Data Scientist colleagues to help figure out problems, and share best practices and learnings
• you will continuously learn together, through our weekly research paper study group, attending conferences and events, and collaborating with academia

We hire people. Not CVs.

As a Machine Learning Engineer, you'll join a team that works across the organisation using machine learning to build intelligence into our products, optimise sales and marketing processes, and improve risk management.

You'll be a great addition to the iZettle team if...

• you have hands-on experience of implementing production machine learning systems, and also a solid understanding of ML theory
• you are comfortable working in cross functional teams and on products with short development cycles and quickly evolving priorities
• you are fluent in Python or R and are eager to learn any new languages
• you are pragmatic, product-focused and passionate about the end results, not just the techniques used to get there
• you're a great communicator and you're 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'll be happy to help you get started.

Small minds never helped small businesses

It takes originality and an open mind to start a small business. That’s why small minds have no place in ours. At iZettle, we celebrate the individuality of the people we work with, valuing the impact that diverse experiences, backgrounds, perspectives and ideas can have on our culture and the products we build. We’re proud to be an equal opportunity employer, a place where everyone can benefit from equal access to professional development and bring their whole personality to work.

Bring your talent to our attention.

We’re a diverse team dedicated to using data to build great value for our customers and we’d love your contribution.

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 [email protected].

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