Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Staff Software Engineer at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

333500.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Leadership, AI/ML Platform, Cross-Functional Collaboration, Platform Infrastructure Design, Code Quality, Performance Testing, Hybrid-Cloud Environments, Multi-Cloud Environments, Containerization Technologies, Machine Learning Concepts, Programming Languages, Python, Java, TensorFlow, PyTorch, Scikit-Learn

Industry

Software Development

Description

Job Duties: Provide technical leadership in a high-performing engineering team to build and scale a highly secure, reliable, and performant AI/ML platform to enable a standardized end-to-end model development and production lifecycle with delightful user experience. Collaborate with cross-functional teams including product managers, data scientists, and software engineers to define platform requirements and priorities. Design scalable and efficient platform infrastructure that enables data scientists to build, deploy, and monitor machine learning solutions end-to-end. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Infrastructure built-out and maintenance, in both hybrid-cloud and multi-cloud environments (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Programming languages such as Python, Java, and proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn EOE, including disability/vets. Salary: $264,514.00-333,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience. Your recruiter can share more information about our total compensation package during the hiring process. Must be legally authorized to work in the U.S. without sponsorship. Subsidiary:

Responsibilities

Provide technical leadership in a high-performing engineering team to build and scale a highly secure, reliable, and performant AI/ML platform. Collaborate with cross-functional teams to define platform requirements and design scalable infrastructure for machine learning solutions.