Senior AI Machine Learning Engineer

New Today

Description
: Meet our team We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Senior ML Engineer to join our AIML Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience.
Your day-to-day Design and deploy scalable generative AI solutions and productize ML models that enhance PayPal's ability to provide a seamless customer experience Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform. Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning. What do you need to bring Qualifications: 5-8 Years of experience Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience. Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities. Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala. Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Proficiency in SQL, ETL, database design Good understanding of NoSQL database like HBase, Redis, Aerospike. Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platform's capabilities Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Preferred Qualification: Subsidiary: 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 . The US national annual pay range for this role is $137,500 to $236,500 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 . Who We Are: 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 . 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 . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
Location:
San Jose

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