Machine Learning Engineer

1 Week ago • 2 Years + • Legal

About the job

SummaryBy Outscal

Must have:
  • Excellent Programming skills using Python/Java/Scala
  • Experience with Big Data Platform and frameworks (Hadoop, Hive, MapReduce, Spark)
  • Experience with SciKit-Learn, Spark MLlib, XGBoost, LightGBM, H2O, Deep learning using TensorFlow, PyTorch
  • Experience with data mining, feature engineering, and distributed data programming
  • Experience with agile methodology
  • Good communication skills for global business and technical partners
Good to have:
  • Experience with cloud technologies (Google Cloud, AWS)
  • Experience on Model monitoring at scale
Perks:
  • Flexible work environment
  • Employee shares options
  • Health and life insurance
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The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:

What you need to know about the role



This role will require end to end understanding of Model Development Life Cycle focussing on engineering aspects of Machine Learning. This includes Data Preparation, feature engineering, model training and deployment at scale.



Meet our team


Our team focus on optimizing key Payments KPIs like Authorization rates and Transaction Expense using ML solutions and build feature stores needed for the ML Models. We are also involved in developing and deploying Gen AI applications for developer productivity. We also support the ML Scientist in model retraining and ML platform partners in new capabilities such as Model monitoring at scale.

Job Description:

Your way to impact  

  • Contribute to design and development of ML solutions which has direct impact of key business metrics such as Auth Rate, Transaction Expense savings and reducing the latency of transactions and improving the platform availability 

  • Learn on the job to work on latest tools and framework in Gen AI application development to improve developer and business stakeholder productivity 

  • Gain an end to end understanding of PayPal Production systems that works at Scale to trouble shoot problems proactively and build tools and capabilities to aid and automate Model Development Life Cycle (MDLC).  

  

Your day to day  

  • Write clean, high-performance, high-quality, maintainable code 

  • Discovering, analyzing, structuring and mining data 

  • Be a key engineer contributing to the design, development of the new functionalities and maintaining the existing components 

  • Work with data scientists and backend engineers to implement scalable ML/AI solutions to solve complex problems. 

  • Maintain and enhance the existing architectural documentations and create the new one as needed 

  • Highly effective at working in cross-functional groups and getting results in matrix organizations 

  • Highly analytical, innovative, and able to think strategically and to develop comprehensive detailed specifications 

 

What do you need to bring

  • B.S. in computer sciences with 2 years of experience or equivalent 

  • Excellent Programming skills using Python/Java/Scala is a must. 

  • Hands on experience with Big Data Platform and frameworks (Hadoop, Hive, Map Reduce, Spark, etc.)  

  • Experience on SciKit-Learn, Spark MLlib, XGBoost, LightGBM, H2O, Deep learning using TensorFlow, PyTorch  

  • Experience on data mining, feature engineering, and distributed data programming 

  • Experience on agile methodology 

  • Experience with cloud technologies (Google Cloud, AWS, etc.) is a plus 

  • Good communication skill to global business and technical partners 

  • Highly motivated, goal driven, can-do attitude 

  • Innovative, entrepreneurial, team player, ability to multi-task

 

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. 

 

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

Bachelors Degree or Equivalent

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

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 talentaccommodations@paypal.com.  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

View Full Job Description

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