Senior Machine Learning Engineer

Dallas, Texas, United States

Applications have closed

Corvus

Corvus empowers brokers to predict and prevent complex cyber risks. We offer Smart Cyber Insurance policies paired with data-driven risk prevention tools.

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We’re united by a mission: to make the world a safer place. Corvus Insurance uses novel data and artificial intelligence/machine learning to achieve better insights into commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex claims through data-driven tools and Smart Commercial Insurance® policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings, and soar with us.

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.

Responsibilities

  • 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.

Qualifications

  • 6+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

Our Commitment

Corvus provides a seriously safe nest for people who come from all paths. Our flock represents a variety of backgrounds, perspectives, and skills. Although confidence can sometimes hold us back from applying for a job, we believe there's no such thing as a 'perfect' candidate.  Corvus is a place where everyone can soar. So however you identify and whatever background you bring, please apply if this is a role that would make you excited to come into work every day.  And please check out what it's like to be a Corvid and our amazing benefits: https://www.corvusinsurance.com/life-at-corvus 

Corvus is committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or an accommodation with our hiring process due to a disability, contact us at careers@corvusinsurance.com. 

Disclaimer: Bird puns are highly encouraged!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Data pipelines Engineering Machine Learning MySQL Pipelines PostgreSQL Python Redshift Research Security Spark Statistics Testing

Perks/benefits: Career development Insurance Team events

Region: North America
Country: United States
Job stats:  6  0  0

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