Machine Learning Engineer

SuprAIJobs; San Jose (CA); On-site; USD 70,000 - 170,000; Full time

Benefits offered by this job

Equity

Medical insurance

Dental insurance

Vision insurance

Performance bonus

Job summary

PayPal is seeking a talented Machine Learning Engineer to join our Global Machine Learning team in San Jose. You will design and deploy ML solutions for personalization, ranking, and deals and promotions across PayPal surfaces.

You will work on large-scale ranking and recommendation systems, building graph-based assets and driving KPIs related to customer experience and revenue. Proficiency in Python/Java/Scala and ML frameworks is essential.

Qualifications

• MS or PhD in quantitative field with 2+ years as individual contributor.
• Proven design/creation of AI/ML models for ranking and recommendations.
• Strong coding in Python/Java/Scala and data pipelines with Hive/SQL/BigQuery/Spark.
• Experience with TensorFlow or PyTorch.

Responsibilities

• Develop AI/ML solutions for personalization, ranking, and recommendations.
• Write scalable production code and deploy models on company infra.
• Collaborate with engineering, product, and marketing to define KPIs.
• Run experiments to measure KPIs and derive actionable insights.

Skills

ML modeling

Ranking & recommendation

Python/Java/Scala

Data engineering pipelines

TensorFlow/PyTorch

Education

MS or PhD in quantitative science/engineering

Tools

Hive

SQL

BigQuery

Spark

TensorFlow

PyTorch

Job description

Machine Learning Engineer

PayPal

• USD 70K-170K
• Full Time
• San Jose, CA
• On-site

Job Description Summary

PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces. Your goal will be to optimize the customer journey through personalized, thrilling experiences.

Your way to impact

As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs at PayPal. The solutions developed by you will aid in building novel and meaningful graph-based community assets around the PayPal network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.

Your day to day

• Creating innovative AI/ML solutions that enhance personalization for PayPal users, with a focus on ranking and recommendation algorithms.
• Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.
• Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.
• Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.

What Are We Looking For

• Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.
• Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.
• Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.
• Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch.

Nice to Haves

• Experience with Graph-based algorithms and infrastructure.
• Prior experience working in a cloud-based environment such as GCP.
• Hands-on experience with conducting experiments in various areas of personalization and causal inferencing.

Travel Percent

0

Our Benefits

• 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.
• 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

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. For more information, visithttps://www.paypal.com , https://about.pypl.comand https://investor.pypl.com.

Equal Employment Opportunity

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].