Senior Cloud Machine Learning Developer

3 weeks ago


San Francisco, California, United States Ripple Full time

As a Senior Cloud Machine Learning Developer at Ripple, you will have the opportunity to work on cutting-edge projects that aim to create a world where value moves like information does today. Our team is looking for a highly skilled developer who can contribute to the development of scalable production machine learning services.

In this role, you will partner closely with applied scientists to deliver solutions that optimize the way Ripple interacts with digital asset markets. You will be responsible for implementing infrastructure and tools to build and deploy production models, as well as contributing back to our greater machine learning platform. This includes ensuring that we tackle business problems with the same rigor and scientific approach that we use when developing research problems. Ideal candidates will have a track record of technical excellence in crafting, building, and delivering reliable solutions as part of a team.

The successful candidate will be passionate about inventing and delivering customer-focused solutions to ambitious and ambiguous challenges. You will chip in and maintain production-level code, improving it for engineering standards. You can clearly identify feature requirements for solutions, even when problem statements are ambiguous. You are adept at presenting across teams to drive multi-functional alignment and have the ability to think through how markets will adapt to leverage paradigm-shifting technology.

We offer a competitive salary range of $187,200—$234,000 USD per year, depending on experience and qualifications. Our comprehensive benefits package includes competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support. We also provide a generous wellness reimbursement and weekly onsite & virtual programming.

To succeed in this role, you will need:

  • A degree or equivalent experience in computer science or other quantitative field; masters or PhD preferred
  • 8+ years software engineering experience with 5+ years developing production machine learning systems
  • Experience with Python and Java
  • Experience with frameworks like scikit-learn, TensorFlow, or PyTorch
  • Experience with machine learning lifecycle platforms (KubeFlow,MLFlow) and cloud data services (GCP, AWS, Databricks)
  • Experience with real-time data a huge plus
  • A collaborative coder, comfortable with Git and code reviews
  • Excellent written and verbal communication skills
  • Attention to detail and a dedication to excellence


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