Senior AI Engineer

Acrisure Technology Group (ATG) is a fast paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry.  Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science. 

At the core of our operating model is our technology: we’re building the premier AI Factory in the world for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest growing insurance brokerage globally. By using the latest technology and advances in AI to push the boundaries of understanding risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries. 

We are a small team of extremely high caliber engineers with a diverse background across industries and technologies. Our engineers have worked at large companies like Google and Amazon, high frequency trading companies like Two Sigma and Jump Trading, and a variety of smaller startups, including successful startup founders.

Here are some of the ways in which you’ll achieve impact:

• Develop and deploy production ML models to solve business problems
• Collaborate with a leading team of AI and Software Engineers and product managers to construct software, ship experiments and products, and find product-market fit
• Participate in rigorous model reviews with the AI team, helping to grow a world-class center of excellence for applied AI
• Wade through ambiguity and a vast set of opportunities to identify the right strategies to deliver business impact with machine learning
• Design and conduct experiments, solving complex measurement challenges
• Assist in designing and maintaining our tech stack, building when it makes sense, inventing when necessary, and continually upgrading as tools evolve
• Identify, adopt, and evangelize best practices.
• Advocate for and identify creative implementations to optimize business impact
• Measure the effectiveness of new features, find and address performance issues, and drive continuous improvement
• Work collegially and effectively as we grow a world-class, diverse engineering team

You may be fit for this role if you:

• Possess exceptional knowledge of ML/AI (regression, classification, clustering, and unsupervised learning), applied probability and statistics, mathematical optimization, and and software engineering principles
• Have experience developing quantitative models and deploying them into production using tools such as scikit-learn, TensorFlow, PyTorch, Kubeflow, etc.
• Take a scientific and data-driven approach to solving problems
• Are entrepreneurial and action-biased; self-directed and excited to build something from scratch in a fast-paced, experimentation-driven environment
• Have experience with relational databases and large-scale distributed systems
• Have an ability to measure, understand, and debug complex integrated systems
• Have excellent communication/presentation skills, with a knack for distilling complex quantitative results into compelling visualizations and telling a story with data
• Are product- and customer-focused, with a passion for delighting the end user
• Are excited about the opportunity to use data and AI to transform the insurance industry
• Seek to stamp out unnecessary complexity, harness necessary complexity, and make complex topics clear and accessible to others.
• Possess empathy, kindness towards others, a positive attitude, and self-awareness.
• Bring a unique, non-traditional perspective to enhance our team’s problem solving abilities.
• Have a Bachelor’s/Master's/PhD degree in Computer Science or a related field, or equivalent experience.
• Are willing and able to work from the headquarters in Austin, Texas (preferred), with remote roles considered for the right candidate.

It’s not expected that any single candidate would have expertise across all of these areas. If you are a solid engineer and eager to work on data- or insurance-related platforms/products, we are eager to talk to you.