Principal Machine Learning Engineer - AI
Description For Principal Machine Learning Engineer - AI
PayPal is seeking a Principal Machine Learning Engineer to join their Enterprise AIML platform team, focusing on revolutionizing commerce through AI-driven personalized shopping experiences. This role combines technical leadership with hands-on engineering, requiring expertise in generative AI, machine learning, and large-scale systems. The position involves leading the design and deployment of cutting-edge AI solutions that will impact over 400 million consumers and 30 million merchants worldwide. As a principal engineer, you'll be responsible for architecting and implementing scalable ML systems, mentoring team members, and driving innovation in AI technology. The role offers a competitive salary range of $96,900-$234,300, comprehensive benefits, and a hybrid work model. This is an opportunity to shape the future of digital payments while working with state-of-the-art AI technologies at a global scale. The ideal candidate will bring 7-10 years of ML engineering experience, strong technical expertise, and proven leadership abilities to help drive PayPal's AI initiatives forward.
Responsibilities For Principal Machine Learning Engineer - AI
- Lead design and deployment of scalable generative AI solutions
- Productize ML Models for seamless customer experience
- Ensure high code quality through testing and code reviews
- Drive innovation by researching state-of-the-art ML techniques
- Mentor team members and provide technical guidance
- Lead technical discussions with data science teams
- Deploy and monitor ML models in production
- Implement LLMOps processes
- Collaborate with cross-functional teams
- Stay current with AI/ML technology trends
Requirements For Principal Machine Learning Engineer - AI
- Masters/bachelors in computer science, Computer engineering, Machine Learning, or related disciplines
- 7-10 years of industry experience in ML engineering
- Strong proficiency in machine learning concepts and algorithms
- Experience in GenAI, prompt engineering, and LLMs tuning
- Strong background in deep learning, particularly in NLP and Vision
- Expert in Python, Java, Scala, SQL, NoSQL
- Proficiency in ML frameworks like TensorFlow, PyTorch, scikit-learn
- Expertise with cloud platforms and containerization technologies
- Experience with Big Data technologies (Hadoop, Spark, HBase, Kafka)
- Strong background in MLOps and experimentation frameworks
Benefits For Principal Machine Learning Engineer - AI
- Comprehensive health and wellness programs
- Retirement and investment resources
- 4 week sabbatical program
- Educational benefits and training
- Company-matched giving
- Flexible hybrid work model (3 days office, 2 days flexible)
- Employee shares options
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