Sr Software Engineer

PayPal
San Jose
Workplace: OnsiteFull timeUSD 187,741 - 270,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: []

Design and build centralized, enterprise model lifecycle management systems and unified model serving infrastructure. Partner with analytics teams to deliver risk management solutions, and enable rapid deployment of risk control models and features to realize loss savings. Work on large-scale machine learning infrastructure and MLOps end-to-end operations, including training, deployment, monitoring, and retirement, with a requirement for strong Kubernetes and production ML engineering expertise.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
PayPal
PayPal
1 day ago

Sr Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design and build centralized, enterprise model lifecycle management systems and unified model serving infrastructure. Partner with analytics teams to deliver risk management solutions, and enable rapid deployment of risk control models and features to realize loss savings. Work on large-scale machine learning infrastructure and MLOps end-to-end operations, including training, deployment, monitoring, and retirement, with a requirement for strong Kubernetes and production ML engineering expertise.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain centralized, enterprise-class model lifecycle management systems.
  • •Develop and maintain unified model serving infrastructure.
  • •Collaborate with analytics teams to deliver risk management solutions.
  • •Facilitate rapid deployment of risk control models and features to ensure timely loss-savings realization.
  • •Support end-to-end ML model operations, including data preparation, training, deployment, monitoring, and retirement.

Pay and Benefits

Salary: USD 187,741 - 270,500 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid LeaveLearning Budget

Key Requirements

  • •Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, or a closely related field such as Electrical Engineering, plus 5 years of progressive experience in the job offered or related occupation.
  • •Proven track record designing and managing large-scale production ML systems in ML infrastructure roles.
  • •Hands-on experience managing Kubernetes infrastructure, developing CRDs/controllers, and implementing deployment strategies including shadow deployment, A/B testing, and MAB testing.
  • •Hands-on MLOps end-to-end operation across data preparation, feature selection, model training, deployment, monitoring, and retirement.
  • •Experience with programming and ML infrastructure technologies including Java, Python, Golang, GCP, and ML model serving.
Experience:5+ yearsMachine learningMLOpsML infrastructure
Education:Bachelor's
Tech Stack:JavaPythonGolangGCPKubernetesPrometheusDatadogJupyter NotebookSparkMLFlowONNXMySQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

PayPal
Global online payments platform enabling digital and mobile payments, money transfers, and merchant services for consumers and businesses, supporting e‑commerce transactions across multiple currencies and payment methods.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1998
WebsiteLinkedIn