Ripples mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, payment providers & corporations with emerging blockchain technologies & users is the path to an open, decentralized, & 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, & cheap. Delivering this vision is a challenge of massive scale spanning $155 trillion in annual cross border fiat payments & the $1.5 trillion market of digital assets that has grown 10X in the last year.

We are looking for an innovative & collaborative principal applied scientist to join us in building the Internet of Value experience for our customers & their users. This is a high-impact role on a team charged with determining & delivering optimal liquidity for every customer in the world in a cost-effective, robust & scalable manner. From forecasting supply & demand, to optimizing routing across traditional & digital assets & venues, to enabling price discovery for the long-tail of crypto assets & tokens, this role will be critical in developing the liquidity engine that powers the Internet of Value. Ideal candidates will have a track record of scientific leadership & technical strength. Successful candidates must be passionate about inventing & delivering customer-focused solutions to ambitious & ambiguous challenges. You will define & drive end-to-end machine learning solutions that solve real customer problems while helping grow & build the team that delivers them.

WHAT YOULL DO:

• Design & build automated ML-based systems for forecasting, optimizing & managing access to global liquidity so our customers can send value instantly, easily, efficiently & cost-effectively to all corners of the world
• Lead the scientific vision & ML strategy for how we delivering scalable, auditable, & maintainable production machine learning services at Ripple
• Be a foundational member of our applied science pillar with a huge opportunity to shape its future
• Work with teams across the broader organization, including engineering, product, legal, compliance, finance & business development to think beyond the technical design in delivering the best experience for our customers

WHAT WERE LOOKING FOR:

• Masters or PhD (preferred) 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 & experimentation, bonus if in finance & trading domains, especially FX
• Experience with cloud-based data processing & machine learning services & tools
• Experience recruiting & mentoring a world-class team of applied scientists
• You are excited about blockchains; the technical details & the potential benefits
• Excellent written & verbal communication skills, especially with non-technical senior leaders
• Attention to detail & a commitment to excellence
• An entrepreneurial problem solver with a bias for action