Staff Machine Learning Engineer

PayPal
San Jose
Workplace: OnsiteFull timeUSD 227,639 - 300,500 annuallyFunction: Data Science & Machine LearningExperience: 5-8 yearsEducation: mastersSkills: ["Code quality","Performance and reliability","Collaboration","Mentorship","Cross-functional leadership"]

Design and deploy scalable risk analytics and generative AI solutions while productizing machine learning models to improve customer experience. Lead and collaborate with data scientists and system engineers on complex ML/AI problems, setting technical standards for code quality, performance, and reliability. Research and apply state-of-the-art ML techniques, build AI agents for issue detection and remediation, and mentor team members across cross-functional groups.

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FursaFursa
PayPal
PayPal
1 day 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: 2 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Design and deploy scalable risk analytics and generative AI solutions while productizing machine learning models to improve customer experience. Lead and collaborate with data scientists and system engineers on complex ML/AI problems, setting technical standards for code quality, performance, and reliability. Research and apply state-of-the-art ML techniques, build AI agents for issue detection and remediation, and mentor team members across cross-functional groups.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and deploy scalable risk analytical and generative AI solutions, productizing machine learning models for improved customer experience.
  • •Lead and collaborate with data scientists and system engineers to solve complex ML/AI problems.
  • •Define technical standards and ensure high code quality, performance, and reliability via testing, code reviews, and best practices.
  • •Research and incorporate state-of-the-art machine learning techniques, tools, and frameworks into the platform.
  • •Lead architecture design and technical decision-making across cross-functional groups; mentor team members and provide technical guidance.

Pay and Benefits

Salary: USD 227,639 - 300,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Master’s degree (or foreign equivalent) in Computer Science, Engineering, or a closely related field plus five years of experience in the job offered or related occupation.
  • •Design and deploy scalable machine learning models and pipelines in production using Python and Java.
  • •Develop and productize generative AI solutions, including LLMs, RAG pipelines, or AI agents (e.g., LangChain, LlamaIndex).
  • •Use big data and distributed computing frameworks (e.g., Spark, Hadoop, Flink) for large-scale processing.
  • •Build and manage ML/AI workloads on cloud platforms (AWS, GCP, or Azure), including Docker and Kubernetes; and use MLOps tools such as Airflow or MLflow.
Experience:5-8 yearsMachine learningGenerative AIRisk analyticsFraud detectionMLOps
Education:Master's in Computer Science, Engineering, or a closely related field
Skills:Code qualityPerformance and reliabilityCollaborationMentorshipCross-functional leadership
Tech Stack:PythonJavaLangChainLlamaIndexSparkHadoopFlinkAWSGCPAzureDockerKubernetesAirflowMLflowGitCI/CDUnit testingIntegration testing

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