Principal Applied Scientist

Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future. This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap. Delivering this vision is a challenge of massive scale spanning $155 trillion in annual cross border fiat payments and the $1.5 trillion market of digital assets that has grown 10X in the last year.

We are looking for a principal scientist to join a growing team charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner.

WHAT YOU’LL DO:

• Subject matter expert on models for supply and demand of liquidity
• Provide technical expertise on models for inventing forecasting, planning, routing, risk management, and experimentation to scalably and reliable deliver best-in-class liquidity to our customers.
• Mentor team and advocate for best practices (technical implementation, design, modeling expertise)
• Be an entrepreneurial leader, managing the roadmap, requirements and deliverables, while partnering closely with machine learning and software engineering teams. Initially, you will spend up to a quarter of your time as a contributor as we grow out your team.
• Lead the vision for creating models to improve and automate frontend and backend services to constantly improve our customers experience
• Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals
• Instill a spirit of continuous improvement in the team’s inventions and processes so we can rapidly deliver innovations for customers

WHAT WE’RE LOOKING FOR:

• Degree in computer science or other quantitative field; masters or PhD preferred
• 10+ years applied science experience, 5+ years in lead/manager role preferred
• Broad machine learning experience including statistical modeling, time series analysis/forecasting and experimentation, bonus if in finance and trading domains, especially FX
• Experience with Python or Java, and machine learning frameworks like scikit-learn, TensorFlow, or PyTorch
• Excellent written and verbal communication skills, demonstrated through experience working with technical and non-technical teams
• Track record of recruiting and mentoring a team of world-class scientists

WHAT WE OFFER:

• The chance to work in a fast-paced start-up environment with experienced industry leaders
• A learning environment where you can dive deep into the latest technologies and make an impact
• Competitive salary and equity
• 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
• 401k (with match), commuter benefits
• Industry-leading parental leave policies
• Generous wellness reimbursement and weekly onsite programs
• Flexible vacation policy - work with your manager to take time off when you need it
• Employee giving match
• Modern office in San Francisco’s Financial District
• Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
• Weekly company meeting - ask me anything style discussion with our Leadership Team
• Team outings to sports games, happy hours, game nights and more!