machine learning engineer

machine learning engineer North Carolina

PayPal
Full Time North Carolina 259600 - 107300 USD ANNUAL Today
Job description

machine

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary: PayPal is looking for a key leader in the AI ML Platform & Solution Organization to build, lead and grow a team of ML engineers as pioneers to explore, integrate, innovate and utilize the ML technologies especially Generative AI to boost technical efficiencies and transform engineering practices through AI ML solutions and services. This leader needs to have a strong background in Machine Learning, practical experience in exploring opportunities with domain owners, framing challenges into proper ML problem, building and implementing and managing the effective ML solutions, demonstrating impacts and values, also keeping up and push the technology advancement in the field. The candidate should also be an effective and broad technology leader to manage ML learning engineers and drive the team and function, communicate and collaborate well with partners in different organization.

Job Description:

Meet our team:

PayPal AI ML Platform & Solution team is responsible for building PayPal enterprise AI ML platforms and solution. We’re responsible for leading and growing ML technology capabilities across PayPal to unlock the data power to help customers, partners and PayPal workforce.

Your way to impact:

  • This leader will play a key role in AMPS (AI ML Platform & Service) organization who will utilize their expertise to build a high performing team.

  • You are professionally mature, confident who is comfortable and effective at all levels of the organization

  • You will use your prior experience to research, develop and delivery data science and machine learning solutions with modern technology in a technical setting

  • You will will be seen as a strategic thought partner, capable of communicating and influencing senior leadership

  • You will collaborate across the organization and enterprise, building relationships with key stakeholders

Your day to day:

  • Build, inspire, motivate, support and manage a high performing remote team of ML engineers

  • Partner with technical domain functional leaders to explore opportunities & challenges, frame into ML problems, build and deliver and manage the solutions and demonstrate impacts and values, and transform technical practices with AI ML technology and data power

  • Advance AI ML capabilities by integrating industry technology and internal innovations.

  • Design, develop and implement real-time and batch advanced machine learning models to improve technical efficiencies especially through GenAI

  • Communicate complex concepts and the results of the models and analyses to technical and non-technical audience. Be able to influence partners and customers.

  • Be a true thought leader for our organization (and PayPal overall) and contribute significantly to develop the next generation of applicable AI technologies for the company.

What do you need to bring:

  • Advance degree in science or engineering field with 8+ years of relevant experience. 3+ years of supervisory experience.

  • Experience in building a strong team of M engineers or data-scientists

  • Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering ready-to-use solution

  • Have a true passion for working on big data/ML/AI and professional experience in data mining, statistical analysis, predictive modeling.

  • Strong problem solving skills, business acumen, and communication skills

  • Proven experience in working with multiple partner groups to drive longer term strategies within a matrix-based organization

  • Insightful understand of broad technical domains, functions and environment. Solid experience in software development life cycle and model development life cycle.

  • Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods. Experience on GCP preferred. SQL and Hadoop / Other Big Data skills

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

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is $107300 to $259600

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:


To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx


PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

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].

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Apply Here

About PayPal

CEO: Dan Schulman
Revenue: $10+ billion (USD)
Size: 10000+ Employees
Type: Company - Public
Website: www.paypal.com
Year Founded: 1998

machine learning engineer
PayPal

www.paypal.com
San Jose, CA
Dan Schulman
$10+ billion (USD)
10000+ Employees
Company - Public
Internet & Web Services
1998
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