Manager, Software Engineering, Machine Learning

San Francisco, CA, United States

Applications have closed
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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 manager 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. This manager will partner closely with applied scientists to deliver scalable production machine learning services to solve these liquidity challenges. You will mentor, lead and grow the team responsible for the design and implementation of the infrastructure and tools to create, deploy and optimize production models. Ideal candidates will have a track record of leadership and 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

Location is flexible within the US.


  • Manage and mentor a team of engineers responsible for building the platform and tools to enable scalable, auditable, and maintainable machine learning services at Ripple
  • Be an entrepreneurial leader, managing the roadmap, requirements and deliverables up and down the data stack, mixing data engineering, machine learning and software engineering to jumpstart this new initiative. Initially, you will spend up to half your time coding as we grow out your team.
  • Collaborate closely with other Ripple engineers and applied scientists, bringing the benefits of automation and machine learning solutions to our customers
  • 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 code, architecture, and processes


  • Degree in computer science or other quantitative field; masters or PhD preferred
  • 8+ years software engineering experience, 3+ years developing production machine learning systems and 1+ years in lead/manager role preferred
  • Excellent written and verbal communication skills, demonstrated through experience working with technical and non-technical teams
  • 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
  • Attention to detail and a commitment to excellence


  • 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 provides one frictionless experience to send money globally using the power of blockchain. By joining Ripple’s growing, global network (RippleNet), financial institutions can process their customers’ payments anywhere in the world instantly, reliably and cost-effectively. Banks and payment providers can use the digital asset XRP to further reduce their costs and access new markets.

With offices in San Francisco, New York, London, Mumbai, Singapore, São Paulo, Reykjavík, Washington D.C. and Dubai, Ripple has more than 300 customers around the world.

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.   Please find our UK/EU applicant privacy notice here.
Job region(s): North America
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