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Honey Gold
Staff Software Engineer – Machine Learning San Jose, California, United States of America Machi[...]
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- United States
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- United States
Über
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:**Join PayPal’s Consumer Product Catalog and Consumer Search team and help build the next generation of product discovery for millions of global shoppers. We own the backend and data infrastructure that powers search, recommendations, and catalog knowledge at global scale.
As a Machine Learning Engineer, you’ll contribute to key components of the product search stack - including indexing pipelines, and query-time services that deliver fast and relevant search results. You’ll collaborate closely with backend engineers and catalog data teams to enable intelligent, contextual, and scalable search capabilities.
We’re looking for motivated and collaborative engineers who thrive on solving complex problems in large-scale search systems. You will work on challenges such as query and document understanding, product entity modeling and enrichment, taxonomy structuring, retrieval and ranking algorithms, and search quality evaluation. You will build models that enhance search relevance and ranking, delivering highly relevant results to users across the PayPal ecosystem. The ideal candidate brings strong experience in machine learning systems, takes ownership of the project from research and prototyping to production deployment, and is eager to shape modern, AI-powered search 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.**Expected 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.**Preferred Qualification:*** 8+ years of industry experience with deep learning architectures, building, fine-tuning and deploying ML models in production.* Strong proficiency in Python, Scala, or other programming languages.* Experience working with large datasets, data processing pipelines (e.g., Dataflow, Spark, Flink), and scalable architectures.* Strong communication and collaboration skills, with the ability to work effectively across teams and contribute to a high-performing engineering culture.* Experience working on search or recommendation systems at scale.* Familiarity with A/B testing and experimentation methodologies for search relevance improvement.PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .The US national annual pay range for this role is $152,500 to $262,350For 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.**Subsidiary:**Honey**Travel Percent:**0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit .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 .**Who We Are:**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 paypalglobaltalentacquisition@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 #J-18808-Ljbffr
Wünschenswerte Fähigkeiten
- AWS
- Azure
- GCP
- Machine Learning
- PyTorch
- Python
- Scala
- Scikit-learn
- TensorFlow
Berufserfahrung
- Backend
- Machine Learning
- Search
Sprachkenntnisse
- English
Hinweis für Nutzer
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