Staff Machine Learning Engineer

PayPal; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Benefits offered by this job

Healthcare coverage

Paid time off

Financial security resources

Job summary

PayPal is looking for an experienced professional to lead the design and development of advanced machine learning models. This role will involve optimizing ML pipelines and deploying models to enhance business insights and improve customer experiences.

The ideal candidate should have over 5 years of experience, strong proficiency in ML frameworks, and a background in cloud platforms. PayPal offers a comprehensive benefits package that includes healthcare coverage and paid time off.

Qualifications

• 5+ years of relevant experience in machine learning.
• Extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Responsibilities

• Lead the development and optimization of advanced machine learning models.
• Deploy and maintain ML solutions in production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.

Skills

Machine Learning frameworks

Cloud Platforms (AWS, Azure, GCP)

Data Processing Tools

Transformer architectures

Recommendation Systems

Technical Leadership

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Job Summary

This position will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. The role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Responsibilities

• Lead the development and optimization of advanced machine learning models.
• Oversee preprocessing and analysis of large datasets.
• Deploy and maintain ML solutions in production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate model performance, performing necessary adjustments.

Minimum Qualifications

• 5+ years of relevant experience and a bachelor’s degree or equivalent combination of education and experience.
• Extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Preferred Qualifications

• Domain: Knowledge of Credit, Payments or other financial products and services.
• Generative AI:
  • Deep expertise in foundation model development using transformer architectures, including pretraining strategies, model scaling, and optimization techniques.
  • Proficient in LLM fine‑tuning methodologies such as supervised fine‑tuning (SFT), RLHF, REFT, DPO, LoRA, and QLoRA.
  • Strong experience designing and implementing LLM guardrails, including safety filters, output validation, toxicity detection, and policy enforcement frameworks.
• Recommendation Systems:
  • Deep experience building large‑scale recommender systems for product/content recommendation.
  • Solid understanding of foundation models for recommendation such as Transformers4Rec.
  • Experience with RL‑based recommenders such as multi‑armed bandits is an added plus.
• Agentic AI:
  • Hands‑on experience building production‑grade Agentic AI applications, including multi‑agent orchestration, tool use, memory systems, and autonomous reasoning pipelines.
  • Ability to adopt new agentic AI frameworks.
• Technical Leadership:
  • Provide technical direction and mentorship to cross‑functional data science and engineering teams, driving architectural decisions and best practices across the AI stack.
  • Translate business problems to AI solutions that scale.
• Other Attributes and Skills:
  • Creative, first‑principles thinking for complex problems and confident challenge of established processes.
  • Thrives in fast‑moving, ambiguous environments with sound judgment and adaptability.
  • Active tracking of cutting‑edge AI research and synthesis of advancements into actionable engineering insights.
  • Rapid prototyping of new AI capabilities and translation of research into product and platform strategy.
  • Strong AI measurement skills and experience designing evaluation frameworks, benchmarks, and metrics for model quality, fairness, robustness, and business impact.
  • Define and track experimentation rigor—A/B testing, offline vs. online evaluation, and model monitoring.

Benefits

PayPal offers comprehensive benefits including paid time off, healthcare coverage, and resources supporting financial security and mental health.

Equal Employment Opportunity Statement

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [e-mail].