Staff Machine Learning Engineer

PayPal
San Jose
Workplace: OnsiteFull timeUSD 227,639 - 300,500 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: ["Collaboration","Problem-solving","Reliability focus"]

Lead the development and optimization of advanced machine learning models and integrate them into PayPal products and software systems. Deploy and maintain ML solutions in production environments, collaborate with engineering, product, and QA to meet performance, availability, scalability, and reliability goals, and build automated tests within CI/CD. Monitor deployed model performance and iteratively improve using cloud data-processing and deployment tools.

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FursaFursa
PayPal
PayPal
6 days ago

Staff Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Lead the development and optimization of advanced machine learning models and integrate them into PayPal products and software systems. Deploy and maintain ML solutions in production environments, collaborate with engineering, product, and QA to meet performance, availability, scalability, and reliability goals, and build automated tests within CI/CD. Monitor deployed model performance and iteratively improve using cloud data-processing and deployment tools.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the development and optimization of advanced machine learning models for integration into existing software and systems.
  • •Design, adapt, and integrate ML models into products and services, then deploy and maintain ML solutions in production environments.
  • •Collaborate with engineers, product management, and QA analysts to deliver optimized software meeting market needs for functionality, performance, availability, scalability, and reliability.
  • •Develop automated tests and deliver high-quality code to production within short CI/CD development cycles.
  • •Monitor and evaluate deployed model performance and make adjustments using cloud tools for data processing and model deployment.

Pay and Benefits

Salary: USD 227,639 - 300,500 annually
Equity and Bonus:Equity
Perks:Paid LeaveHealth Insurance

Key Requirements

  • •Master’s degree (or foreign equivalent) in Computer Science, Engineering, or a closely related field, plus 4 years of experience in the job offered or related occupation.
  • •Experience building scalable data processing pipelines at scale using Spark, Hadoop/Hive, Cassandra, and AirFlow.
  • •Experience in Scala and Java programming.
  • •Experience with Python programming and deep learning architectures for user personalization systems at scale.
  • •Experience with TensorFlow or PyTorch, and data-driven experimentation including A/B testing (plus experience relevant to supervised/unsupervised ML ranking/classification and LLM fine-tuning).
Experience:4+ years
Education:Master's in Computer Science, Engineering, or a closely related field
Skills:CollaborationProblem-solvingReliability focus
Tech Stack:Machine LearningML frameworksSparkHadoopHiveCassandraAirFlowScalaJavaPythonDeep LearningGradient-Boosted TreesRegression modelsTensorFlowPyTorchA/B TestingLarge Language Model fine-tuningLLM prompt optimization

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