UT College of Natural Science Career Fair- Software Engineer, New College Graduate

UT College of Natural Science Career Fair- Software Engineer, New College Graduate

PLEASE NOTE: This job application is reserved for attendees of the UT College of Natural Sciences Career Fair on September 14, 2023. 

This is a full-time, in-house position. We do not offer C2C or C2H employment and are not able to sponsor visas for this position.

Hybrid Position (3 days per week average in Downtown Austin, TX office)

Acrisure Innovation 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 TwoSigma and Jump Trading, and a variety of smaller startups, including successful startup founders.

 The Role:

As Software Engineer at Acrisure Innovation, you’ll be an essential part of the team building world-class software to transform the insurance industry. You will work collaboratively as part of a cross-functional team, including AI researchers, AI engineers, product managers, and designers to identify and deliver innovative features, systems, and products to better understand risk and surface insights and recommendations for how best to engage that risk in the marketplace. As a successful candidate, you will take full advantage of state-of-the-art tools, conceiving of new ones when the right solution does not yet exist and act with a sense of urgency and agility to deliver value. You are driven by a passion for improving the world through technology and delighting users. Help us to turn our vision into reality.

Our technology runs on Google Cloud and is configured with Kubernetes, leveraging various services in that environment. Our data storage layer includes BigQuery, BigTable, and Postgres. We code primarily in Kotlin, Python, Java, and JavaScript and make use of many frameworks, including Dataflow, Cloud AI Platform, KubeFlow, Spring, and React.

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

• Build efficient and reliable technology with a customer-first mindset.
• Develop and deploy production ML models to solve business problems
• Participate in model reviews alongside a leading team of AI researchers and AI engineers, helping to grow a world-class center of excellence for applied AI
• Assist in designing and maintaining our tech stack, building when it makes sense, inventing when necessary, and upgrading as tools evolve.
• Identify, adopt, and evangelize best practices.
• 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.
• Design and conduct experiments, solving complex measurement challenges.

You may be fit for this role if you:

• Bachelor's Degree in Computer Science with relevant projects - internship experience strongly preferred.
• Strong knowledge of computer science fundamentals and software engineering principles.
• Expertise with modern software tools, libraries, and languages, with experience delivering production code at scale.
• A product and customer focus, with a passion for delighting the end user.
• Empathy, kindness towards others, a positive attitude, and self-awareness.
• Excitement to work in a startup like environment with the opportunity experiment, discover product-market fit and are focused on maximizing business impact.
• Ability to start upon graduation in Summer 2024. 

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 for you to apply!