Ripple's mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, ...
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 an experienced software engineer to join a new team charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner. Candidates will partner closely with applied scientists to deliver scalable production machine learning services to solve these liquidity challenges. You will be responsible for the design and implementation of the infrastructure and tools to create and deploy production models. Ideal candidates will have a track record of technical excellence in designing, building and delivering reliable solutions as part of a team. As a member of a new initiative, you must be passionate about inventing and delivering customer-focused solutions to ambitious and ambiguous challenges
What You'll Do
What We're Looking For
- Be an entrepreneurial builder, working up and down the data stack, mixing data engineering, machine learning and software engineering to jumpstart this new initiative.
- Build the platform and tools to enable scalable, auditable, and maintainable machine learning services at Ripple
- Design and implement tools and processes for the entire ML lifecycle including feature generation, model development, model deployment, model serving and experimentation
- Collaborate closely with other Ripple engineers and applied scientists, bringing the benefits of automation and machine learning solutions to our customers
What We Offer
- Degree in computer science or other quantitative field; masters or PhD preferred
- 5+ years software engineering experience with 3+ years developing production machine learning systems preferred
- Experience with Python and Java
- Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch
- Experience with machine learning lifecycle platforms (Kubeflow, mlflow) and cloud data services (GCP, AWS)
- A collaborative coder, comfortable with Git and code reviews
- Excellent written and verbal communication skills
- Attention to detail and a commitment to excellence
Who We Are
- 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), fully paid parental leave, commuter benefits
- 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!
Ripple is doing for value what the internet did for information: enabling its instant and seamless flow around the world. We call this the Internet of Value (IoV). Using blockchain and cryptocurrency technology, Ripple is dedicated to creating powerful gains in financial efficiency, equity and inclusion. In addition, Ripple is developing and enabling the future use cases that will catalyze the new digital economy for governments, businesses and consumers.
Ripple has offices in San Francisco (HQ), New York, London, Mumbai, Singapore, São Paulo, Reykjavík, Washington D.C. and Dubai.Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
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