Ripple is hiring a

Web3 Senior Software Engineer, MLOps

This person can be located in our Toronto, Remote (US), New York City, San Francisco, or Miami office.

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 Senior Software Engineer, Machine Learning Operations 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 and engineers to build out a ML infrastructure to enable delivering 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:

• Be an entrepreneurial builder, working up and down the data stack, mixing data engineering, machine learning and software engineering to jumpstart this new initiative.
• Design and build effective, user-friendly infrastructure to enable scalable, auditable, compliant and maintainable machine learning services at Ripple.
• Collaborate with machine learning engineers, software engineers and product managers to develop platform to support ML workflows including experimentation, training and production operations
• Build and maintain systems with an infrastructure-as-code approach
• Establish and manage the cloud stack (AWS or GCP or Databricks) required for ML resources
• Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation.

WHAT WE'RE LOOKING FOR:

• 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 general cloud Infrastructure and concept of infrastructure as code.
• Experience with machine learning lifecycle platforms (Kubeflow, MLflow) and cloud data services (GCP, AWS)
• Experience with machine learning frameworks tools like scikit-learn, TensorFlow, or PyTorch
• A collaborative coder, comfortable with Git and code reviews
• Excellent written and verbal communication skills
• Attention to detail and a commitment to excellence

Apply Now: