Director, AI Enablement
PayPal•San Jose, CA
•$242,000 - $359,150•Hybrid
About The Position
This job will drive the strategic vision and development of cutting-edge 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.
Requirements
- 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- 2 years of experience leading others
Nice To Haves
- The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California: ($242,000.00 - $359,150.00 Annually)
- Additional Location(s) | Pay Range: No other locations are assigned to this requisition currently.
- Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
- 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.
Responsibilities
- Define and drive the strategic vision for machine learning initiatives across multiple teams or projects.
- Lead the development and optimization of state-of-the-art 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.
- Mentor and guide junior engineers and data scientists.
- Publish research findings and contribute to industry discussions.
- Lead the development of new methodologies and frameworks for ML applications.
Benefits
- generous paid time off
- healthcare coverage for you and your family
- resources to create financial security
- support your mental health
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What This Job Offers
Job Type
Full-time
Career Level
Director
