Machine Learning Engineer

Found in: Jooble US O C2 - 2 weeks ago


San Francisco CA, United States Soteris Full time

Full Time] Machine Learning Engineer at Soteris (United States) | BEAMSTART Jobs Machine Learning Engineer
Full Time
Remote Work
Stock Options
Soteris is a YC-backed, seed-stage, profitable company building a machine-learning-based insurance pricing platform. Earlier this year, we finished a 15-month pilot with an auto insurer that resulted in almost tripling their policy profitability. The opportunity per customer is so large because our ML tech integrates directly into the critical path of their business (pricing the risk).
There’s $750B of insurance policies written in the US every year, yet insurance companies generally lack the sophistication necessary to price insurance individually. Our ML platform allows them to calculate a highly customized price instead. The team is under 5 people, remote across the US, and growing. You would be our second ML engineer and would be responsible for building out both the ML infrastructure we use to train insurance-pricing algorithms from application + claims data, as well as the models themselves.
Onboarding new customers’ into our model-training process.
• Improving and extending our ML models to predict policy cash flow over time.
• Enhancing our automated model monitoring to watch for things such as performance degradation and data drift.
• Pursuing opportunities for further automation of our training / evaluation pipelines by enabling customers to seamlessly integrate into our systems.
• Creating and automating additional data analytics and reports we offer our customers on top of their application and claims data.
• Researching additional lines of insurance to help drive our expansion roadmap.
Fully cloud-based on AWS
• SageMaker for ML workflows - Data exploration, processing, model prototyping, training, management, and serving
• AWS Lambda Functions (Python) for general purpose utility functions 
• ML and data processing code in Python (Lightgbm, Pandas, scikit-learn)
• Python for backend services code
• You probably think of yourself as a statistician first and a software engineer second.
There are no specific requirements per se - if you're interested in the role and feel you have an ability to do the job described above, we'd love to see an application from you.
Building a first-of-its-kind data platform for commercial insurance.
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