What are the responsibilities and job description for the Machine Learning Engineer position at SuprAIJobs?
Back
Machine Learning Engineer
PayPal
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.
Job Description Summary:
PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.
Job Description:
Meet our team
PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. In a high-impact and high-visibility environment, you will have the opportunity of utilizing PayPal’s large-scale infrastructure (including network graph assets) to design and develop large-scale ranking and recommendation systems powering content on novel user interface designs to fundamentally enhance customer experience and engagement.
Your way to impact
As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs at PayPal. The solutions developed by you will aid in building novel and meaningful graph-based community assets around the PayPal network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.
Your day to day
As a Machine Learning Scientist you will be responsible for:
Additional Job Description:
PayPal
Travel Percent:
0
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
to
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.
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. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.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 paypalglobaltalentacquisition@paypal.com.
Any general requests for consideration of your skills, please Join Our Talent Community.
Apply Now
Explore more AI career opportunities
Machine Learning Jobs
Data Science Jobs
Natural Language Processing Jobs
Computer Vision Jobs
Artificial Intelligence Jobs
Data Engineering Jobs
MLOps Jobs
Robotics Jobs
AI Research Jobs
AI Ethics Jobs
AI Hardware Jobs
Automation Jobs
Back
Machine Learning Engineer
PayPal
Meet our team
PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. In a high-impact and high-visibility environment, you will have the opportunity of utilizing PayPal’s large-scale infrastructure (including network graph assets) to design and develop large-scale ranking and recommendation systems powering content on novel user interface designs to fundamentally enhance customer experience and engagement.
Your way to impact
As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs at PayPal. The solutions developed by you will aid in building novel and meaningful graph-based community assets around the PayPal network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.
Your day to day
As a Machine Learning Scientist you will be responsible for:
Click Here to learn more about our culture and community.
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. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.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 paypalglobaltalentacquisition@paypal.com.
Any general requests for consideration of your skills, please Join Our Talent Community.
Apply Now
Explore more AI career opportunities
Machine Learning Jobs
Data Science Jobs
Natural Language Processing Jobs
Computer Vision Jobs
Artificial Intelligence Jobs
Data Engineering Jobs
MLOps Jobs
Robotics Jobs
AI Research Jobs
AI Ethics Jobs
AI Hardware Jobs
Automation Jobs
Machine Learning Engineer
PayPal
- USD 70K-170K
- Full Time
- San Jose, CA
- On-site
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.
Job Description Summary:
PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.
Job Description:
Meet our team
PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. In a high-impact and high-visibility environment, you will have the opportunity of utilizing PayPal’s large-scale infrastructure (including network graph assets) to design and develop large-scale ranking and recommendation systems powering content on novel user interface designs to fundamentally enhance customer experience and engagement.
Your way to impact
As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs at PayPal. The solutions developed by you will aid in building novel and meaningful graph-based community assets around the PayPal network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.
Your day to day
As a Machine Learning Scientist you will be responsible for:
- Creating innovative AI/ML solutions that enhance personalization for PayPal users, with a focus on ranking and recommendation algorithms.
- Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.
- Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.
- Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.
- Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.
- Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.
- Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.
- Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch.
- Experience with Graph-based algorithms and infrastructure.
- Prior experience working in a cloud-based environment such as GCP.
- Hands-on experience with conducting experiments in various areas of personalization and causal inferencing.
Additional Job Description:
PayPal
Travel Percent:
0
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
to
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.
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. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.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 paypalglobaltalentacquisition@paypal.com.
Any general requests for consideration of your skills, please Join Our Talent Community.
Apply Now
Explore more AI career opportunities
Machine Learning Jobs
Data Science Jobs
Natural Language Processing Jobs
Computer Vision Jobs
Artificial Intelligence Jobs
Data Engineering Jobs
MLOps Jobs
Robotics Jobs
AI Research Jobs
AI Ethics Jobs
AI Hardware Jobs
Automation Jobs
Back
Machine Learning Engineer
PayPal
- USD 70K-170K
- Full Time
- San Jose, CA
- On-site
Meet our team
PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. In a high-impact and high-visibility environment, you will have the opportunity of utilizing PayPal’s large-scale infrastructure (including network graph assets) to design and develop large-scale ranking and recommendation systems powering content on novel user interface designs to fundamentally enhance customer experience and engagement.
Your way to impact
As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs at PayPal. The solutions developed by you will aid in building novel and meaningful graph-based community assets around the PayPal network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.
Your day to day
As a Machine Learning Scientist you will be responsible for:
- Creating innovative AI/ML solutions that enhance personalization for PayPal users, with a focus on ranking and recommendation algorithms.
- Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.
- Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.
- Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.
- Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.
- Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.
- Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.
- Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch.
- Experience with Graph-based algorithms and infrastructure.
- Prior experience working in a cloud-based environment such as GCP.
- Hands-on experience with conducting experiments in various areas of personalization and causal inferencing.
Click Here to learn more about our culture and community.
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. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.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 paypalglobaltalentacquisition@paypal.com.
Any general requests for consideration of your skills, please Join Our Talent Community.
Apply Now
Explore more AI career opportunities
Machine Learning Jobs
Data Science Jobs
Natural Language Processing Jobs
Computer Vision Jobs
Artificial Intelligence Jobs
Data Engineering Jobs
MLOps Jobs
Robotics Jobs
AI Research Jobs
AI Ethics Jobs
AI Hardware Jobs
Automation Jobs