Principal Applied Scientist
1 month ago
Ripple is seeking a highly skilled Principal Applied Scientist to join our team. As a key member of our applied science pillar, you will be responsible for designing and building automated ML-based systems for forecasting, optimizing, and managing access to global liquidity. Your work will enable our customers to send value instantly, easily, efficiently, and cost-effectively to all corners of the world.
Key Responsibilities- Design and build automated ML-based systems for forecasting, optimizing, and managing access to global liquidity
- Lead the scientific vision and ML strategy for delivering scalable, auditable, and maintainable production machine learning services at Ripple
- Develop and hire the best talent to join our team
- Work with teams across the broader organization to deliver the best experience for our customers
- Masters or PhD in computer science, statistics, physics, or other quantitative field
- 10+ years of hands-on experience delivering production machine learning solutions to complex business problems
- 5+ years experience with Python and/or Java
- Broad machine learning experience including statistical modeling, time series analysis/forecasting, and experimentation
- Experience with cloud-based data processing and machine learning services and tools
- Experience recruiting and mentoring a world-class team of applied scientists
Ripple is a fast-paced start-up environment with experienced industry leaders. We offer a learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
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