Staff Machine Learning Engineer

IND - Karnataka - Bangalore - Corp - Sarjapur Main Rd, India

PayPal

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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:

What you need to know about the role
This role leads the design, development, and implementation of highly scalable and advanced Generative AI solutions that can be leveraged across the organization. You will collaborate closely with the Architect, Product Managers, and development teams to deliver top-quality products with high security through innovative AI/ML solutions.

Meet our team
You’ll be part of a team committed to solving challenges to deliver exceptional results. You will get an opportunity to work with latest AI technologies and frameworks that can make a wider impact. We encourage innovation and creative problem-solving approaches to deliver. If you are a passionate engineer who likes to get on to the ground with the roll-up-the-sleeves attitude, this would be your right place

Job Description:

Your way to impact

We are seeking a highly skilled Machine Learning Engineering Lead with expertise in building scalable AI enterprise solutions and a solid understanding of Generative AI and Prompt Engineering techniques. In this role, you will take ownership of architecting, designing, and leading development teams to deliver advanced Generative AI solutions that focus on technology improvements and intelligent systems, such as Technology Assistants, AI Agents, fine-tuned models with domain expertise. You will play a pivotal role in shaping the AI solutions architecture while collaborating with multidisciplinary teams.
 

Your day to day

  • Lead the development and delivery of Generative AI solutions.
  • Keep the team ahead with research and implementation innovative AI solutions that can make an organization-wide impact.
  • Collaborate with cross-functional teams to ensure deliveries are done on with high-quality and great standards.

What do you need to bring

  • A Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, or a related field.
  • A minimum of 10 years of professional experience, including 5+ years of experience with ML frameworks, model training and deployment.
  • Minimum 2 years of hands-on experience with Generative AI technologies, large language models (LLMs), prompt engineering techniques, and vector databases (e.g., Pinecone, Weaviate, Milvus, or similar).
  • Strong proficiency with Python, and cloud infrastructure (e.g., AWS, Azure, GCP) is a must.
  • Experience in architecting and building enterprise-scale systems, such as Knowledge Graphs or distributed AI platforms.
  • Experience in fine-tuning LLM models to inject domain expertise and enhance ethical standards.
  • Excellent communication skills to interface with both technical and non-technical stakeholders, enabling clear articulation of project requirements and outcomes.

Preferred Qualification:

Subsidiary:

PayPal

Travel Percent:

0

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 benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

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 talentaccommodations@paypal.com.  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Computer Science Engineering GCP Generative AI LLMs Machine Learning Model training Pinecone Prompt engineering Python Research Security Weaviate

Perks/benefits: Career development Health care Insurance Wellness

Region: Asia/Pacific
Country: India

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