Machine Learning Engineer

Corvus Insurance seeks a talented Machine Learning Engineer to join our Data Science team. We are a dynamic team of entrepreneurial professionals with backgrounds in insurance and technology creating a commercial insurance company that combines the latest technology with traditional insurance. You will be instrumental in building systems that identify and analyze actionable data for our users to consume.

• Assist in applying machine learning to solve business problems, such as identifying cyber insurance risk

• Develop production grade systems to deploy machine learning applications

• Design data pipelines to gather and store large quantities of cyber security data

• Managing research, ingestion and synthesis of new data sources, including building and maintaining data infrastructure

• Drive engineering best practices across the data team, including code reviews, testing and reproducibility

• You will be an active, creative team member that will help Corvus build our data products.

• 1-5 Years of experience with Machine Learning, Data Engineering, Data Science or Software Engineering

• Passion for and basic knowledge of Statistical and Machine Learning methodologies

• Advanced knowledge of Python, Spark or similar tools

• Relational/Non-Relational database experience such as Redshift, Postgres, MySQL, etc.

• You write readable, quality code

• Experience with the AWS stack or other cloud computing technologies a plus

• You collaborate well with others and are dedicated to the company's success

• Experience in cybersecurity a plus