Ripple is working to build new product experiences around crypto liquidity. 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 a senior applied scientist to join us in determining & delivering optimal liquidity for every customer in the world in a cost-effective, robust & scalable manner. This is a builder role focused on delivering end-to-end machine learning-enabled solutions. From forecasting supply & demand, to optimizing routing across traditional & digital assets & venues, to pricing & risk management systems, this role will be critical in developing the liquidity engine that powers the Internet of Value. Ideal candidates will have a track record of technical excellence in designing, building & delivering reliable solutions as part of a team. As a member of a new initiative, you must be passionate about inventing & delivering customer-focused solutions to ambitious & ambiguous challenges

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
• Be self-sufficient in executing on elements of Ripples 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, & in doing so, level-up your teammates with a commitment to operational excellence
• 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
• 3+ 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
• A collaborative coder, comfortable with Git & code reviews
• Excellent written & verbal communication skills
• Attention to detail & a commitment to excellence

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 & make an impact
• Competitive salary & equity
• Medical, dental, & vision with 100% employer contributions for employees & dependents
• Industry-leading parental leave policies
• Generous wellness reimbursement program
• Employee giving donation match
• Brand new office in Toronto
• Weekly company meeting - ask me anything style discussions with our Leadership Team
• Team outings to sports games, happy hours, game nights & more!