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Senior Software Engineer Machine Learning

Ripple San Francisco, California, United States

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$45k - $100k · Senior Full-time Posted about 4 years ago 3 min read

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:

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’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 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

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 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 >
Team outings to sports games, happy hours, game nights and more!

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