Staff Machine Learning Engineer

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description:

Essential Responsibilities:

• Lead the development and optimization of advanced machine learning models.
• Oversee the 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 the performance of deployed models, making necessary adjustments.

Minimum Qualifications:

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

Your day-to-day  

• As one of the most senior engineers in the team, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners representing the team within a globally distributed org. 
• Lead and mentor teams of ML Engineers and Software Engineers in building scalable AI systems that combine state-of-the-art models with robust engineering practices. 
• Design, Build, optimize, AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives  
• Deploy, monitor, and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. 
• Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders. 
• Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, provide technical support, and drive successful project outcomes. 

 What do you need to bring  

Qualifications:  

• 8+ years of experience.
• Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.  
• Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.  
• Design & Architect directions on GenAI (Prompt Engineering, Orchestration, LLMs tuning) 
• Strong background in deep learning techniques, particularly in NLP and Vision 
• Expertise in applying LLMs, prompt design, and fine-tuning methods 
• Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. 
• Expert in multiple Programming/scripting languages, i.e., Python, Java, Scala, SQL, SQL, NoSQL (like HBase, Redis, Aerospike) 
• Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs.  
• Proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.  
• Expertise with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus 
• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner   
• Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential 
• Stay up-to-date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to build enhanced capabilities.   
• Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. 

Preferred 

• Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph  
• Strong background in MLOps and experimentation frameworks 
• Extensive experience with concurrent, parallel, and distributed computing, including performance tuning and optimization for large-scale applications 

Subsidiary:

PayPal

Travel Percent:

0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes.  Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately.  To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. 

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holis