PayPal Senior Software Engineer 

United States, California, San Jose 

755081997

What you need to know about the role:
We are hiring talented and creative ML engineer for AIML platform team based in San Jose CA, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. You will have a chance to work on solving real world problems and gain practical experience in end to end Machine Learning life cycle. You will design, build, and optimize the platform for ML pipeline and data infrastructure. Additionally, you will gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build ML models used across all PayPal domains.

Job Description:

• Strong critical thinkingand problem-solving skillswith the ability to address complex technical and non-technical challenges.
• Ability to influence at all levels of the organization and across multiple domains.
• Ability to lead complex technical and data science discussions and engagements that involve multiple personas including data scientists, data engineers, analysts and developers.

Your day-to-day

• Design and develop highly scalable and efficient platform that enables data scientists to build, deploy,and monitor machinelearning solutionsend-to-end.
• Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development bestpractices.
• Drive innovation by researching andincorporating state-of-the-art machinelearning techniques, tools, and frameworks into theplatform.
• Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
• Mentor teammembers, provide technicalguidance, and foster a culture of collaboration, innovation, and continuouslearning.
• Explore state-of-the-art deep learning techniques and Partner with data science and domain engineering teams to support the business transformation through AI.

• Develop trusted partnership with business, product, data scientists and architecture leaders to drive optimized platform product delivery

What do you need to bring
Qualifications:

• Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume,  innovative and fast-paced high-pressure environment; proven results in delivery on platformproducts.
• Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, withtechnical expertise inone or more of the above-mentioned areas or equivalent practicalexperience.
• Strong proficiency inmachine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
• Expertise in programming languages such as Python, Go, Java,and proficiency inmachine learning libraries/frameworks such asTensorFlow, PyTorch,scikit-learn, etc.
• Stay up-to-date withthe latest advancements in AI/ML technology andindustry trends,and leverage this knowledge to enhance the platform'scapabilities.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
• Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.
• Experience with Jupyter Notebook, Kubeflow, Airflow, Argo, GPU and HPC

• Experiencebuilding ML infrastructureor MLOps platformsand Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS

Travel Percent:

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 U.S. national annual pay range for this role is

$72700 to $176000

Our Benefits:

Any general requests for consideration of your skills, please