PayPal

1 week ago

Sr. Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Design and implement machine learning models and AI agents for business use cases, including maintaining and improving fraud prevention systems. Partner with data and software engineers to collect, clean, and prepare data, develop prototypes, and run experiments. Optimize models for performance, accuracy, and scalability in production, deploy them into live systems, and evaluate results through offline/online testing and A/B testing. Stay current with ML advances and communicate findings to stakeholders.

Location: San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and implement machine learning models and AI agents for business use cases, including maintaining the existing fraud prevention system.
•Review models and agents and work with data engineers to collect, clean, and prepare data for modeling.
•Develop prototypes and run experiments to validate model approaches.
•Optimize models for performance, accuracy, and scalability in production and deploy them into live systems.
•Communicate technical concepts and results to peers and stakeholders and apply new ML developments as appropriate.

Pay and Benefits

Salary: USD 193,978 - 246,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid LeaveRetirementLearning Budget

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science, Control Engineering, or a closely related field, plus three years of experience in the job offered or related occupation.
•Employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Control Engineering, or a closely related field, plus five years of experience in the job offered or related occupation.
•Experience with large language model (LLM) fine-tuning, including post-training optimization methods and designing datasets, prompts, and evaluation methodologies.
•Experience with deep learning frameworks, including PyTorch and distributed training libraries (DeepSpeed, Accelerate, FSDP).
•Experience writing clean, scalable, production-ready code for ML pipelines and agent frameworks (Python, testing, debugging, CI/CD).

Experience:3-5 years

Education:Master's in Computer Science, Control Engineering

Skills:Communication

Tech Stack:PythonPyTorchDeepSpeedAccelerateFSDPCrewAIAutoGenLangGraphReActDockerVLLMRay ServeTritonCosmosREST APIsA/B testingA100H100CI/CDGPU compute

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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

PayPal

1 week ago

Sr. Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and implement machine learning models and AI agents for business use cases, including maintaining the existing fraud prevention system.
•Review models and agents and work with data engineers to collect, clean, and prepare data for modeling.
•Develop prototypes and run experiments to validate model approaches.
•Optimize models for performance, accuracy, and scalability in production and deploy them into live systems.
•Communicate technical concepts and results to peers and stakeholders and apply new ML developments as appropriate.

Pay and Benefits

Salary: USD 193,978 - 246,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid LeaveRetirementLearning Budget

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science, Control Engineering, or a closely related field, plus three years of experience in the job offered or related occupation.
•Employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Control Engineering, or a closely related field, plus five years of experience in the job offered or related occupation.
•Experience with large language model (LLM) fine-tuning, including post-training optimization methods and designing datasets, prompts, and evaluation methodologies.
•Experience with deep learning frameworks, including PyTorch and distributed training libraries (DeepSpeed, Accelerate, FSDP).
•Experience writing clean, scalable, production-ready code for ML pipelines and agent frameworks (Python, testing, debugging, CI/CD).

Experience:3-5 years

Education:Master's in Computer Science, Control Engineering

Skills:Communication

Tech Stack:PythonPyTorchDeepSpeedAccelerateFSDPCrewAIAutoGenLangGraphReActDockerVLLMRay ServeTritonCosmosREST APIsA/B testingA100H100CI/CDGPU compute

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

PayPal

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

Website LinkedIn