Machine Learning Engineer
PayPalJob Description
Overview
PayPal is seeking a Machine Learning Engineer to join our Global Data Science organization. This role is pivotal in developing advanced machine learning solutions to enhance our product and marketing strategies. You will work with large-scale data and leverage state-of-the-art machine learning techniques to solve complex business problems.
Responsibilities
- Develop and implement machine learning models to improve customer experience and optimize marketing campaigns.
- Collaborate with cross-functional teams to translate business challenges into data science problems.
- Automate and productionalize data solutions in partnership with engineering teams.
- Provide actionable insights and recommendations based on data analysis.
Qualifications
- Master's degree or equivalent experience in a quantitative field such as Computer Science, Mathematics, or Engineering.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with machine learning frameworks like TensorFlow and PyTorch.
- Familiarity with big data technologies such as GCP and Hadoop.
- Strong communication skills to collaborate with business and engineering partners.
Preferred Experience
- Experience in recommendation systems, ranking, or marketing domains.
- Knowledge of deep learning, reinforcement learning, or graph modeling.
Work Environment
This position is based in San Jose, CA, and follows a hybrid work model with three days in the office and two days remote.
Benefits
PayPal offers a comprehensive benefits package, including a flexible work environment, employee share options, and health and life insurance.
About PayPal
PayPal is a global leader in online payments, providing solutions for millions of customers worldwide. We are committed to building an inclusive global economy and offer a supportive work environment that values diversity and inclusion.
Application
If you are a recent graduate with a PhD in Computer Science or a related field, and you meet the qualifications, we encourage you to apply. Join us in our mission to democratize financial services and empower people and businesses around the world.
Benefits Extracted with AI
- Flexible work environment
- Employee share options
- Health and life insurance
Similar jobs
Last update: 23 minutes ago
Senior Data Scientist
Join PayPal as a Senior Data Scientist in San Jose, CA. Leverage data science skills to drive insights and support product launches.
Machine Learning Engineer
Join Ema Unlimited as a Machine Learning Engineer in SF Bay Area, working on cutting-edge AI solutions with a focus on NLP and ML technologies.
Machine Learning Engineer, Foundation Model
Join Stripe as a Machine Learning Engineer to develop and deploy ML models, enhancing user interaction with cutting-edge AI technologies.
Machine Learning Engineer with AI/ML Experience
Join us as a Machine Learning Engineer to develop AI/ML models and applications. Work remotely with top-tier companies.
Machine Learning Engineer - University Graduate 2025
Join Adobe as a Machine Learning Engineer to develop AI technologies for Photoshop and Digital Imaging.
Associate Web Engineer
Join PayPal as an Associate Web Engineer, working with HTML, CSS, JavaScript, and React to build robust web solutions.
Machine Learning Engineer - Ads
Join as a Machine Learning Engineer focusing on Ads, developing predictive models in a hybrid role in New York.
Senior Machine Learning Engineer
Join Intuit as a Senior Machine Learning Engineer to innovate and scale AI algorithms in San Diego.
Machine Learning Engineer
Join Snap Inc. as a Machine Learning Engineer in Los Angeles. Develop and deploy ML models to enhance user experience. Competitive salary and benefits.
Senior Machine Learning Scientist - Consultant Level
Join Visa as a Senior Machine Learning Scientist to develop fraud detection solutions using AI and data science in a hybrid work environment.
Machine Learning Engineer for Vehicle Safety Systems
Join Porsche AG as a Machine Learning Engineer to enhance vehicle safety systems using AI and data science.
Senior ML Infrastructure Engineer
Join CHAI: AI Platform as a Senior ML Infrastructure Engineer to build and scale ML systems in Palo Alto.
Senior Growth Data Scientist
Join MoonPay as a Senior Growth Data Scientist to drive business growth and optimize ROI through data-driven strategies.
Machine Learning Engineer
Join Sentry as a Machine Learning Engineer to develop AI models and algorithms for smarter software solutions.
Senior Software Engineer, Machine Learning
Join Niantic as a Senior Software Engineer in Machine Learning to enhance products using generative AI technologies.
Senior Machine Learning Engineer
Join Olo as a Senior Machine Learning Engineer to build and scale ML models for the restaurant industry. Remote work available.
Machine Learning Engineer
Join OfferFit as a Machine Learning Engineer to design and scale AI platforms. Work remotely with a focus on Python, MLOps, and data science.
Staff Software Engineer - Backend (Java, GraphQL)
Join PayPal as a Staff Software Engineer focusing on backend development with Java and GraphQL.
Internship Software Engineer - Machine Learning Infrastructure
Join Tesla as an Internship Software Engineer in Machine Learning Infrastructure. Work on AI infrastructure and neural network scaling.
Intern - Machine Learning Engineer AI/ML
Join Adobe as a Machine Learning Intern to apply AI/ML techniques to big-data problems and enhance customer experiences.
Senior Machine Learning Engineer
Join Nike as a Senior Machine Learning Engineer to develop and optimize ML algorithms for innovative applications.
Machine Learning Engineer, Cloud AI
Join Qualcomm as a Machine Learning Engineer to develop AI solutions for mobile, edge, auto, and IoT products.
Data Scientist with NLP and Machine Learning Expertise
Join NICE as a Data Scientist to develop NLP algorithms and models, enhancing contact center solutions.
Senior Machine Learning Engineer
Join NIQ as a Senior ML Engineer to develop and implement AI models using Python, PyTorch, and Azure in a hybrid work environment.