Position Overview

We are seeking a skilled and experienced Machine Learning Developer with a strong

focus on data science to join our team. This role involves designing, developing, and

deploying machine learning models for various applications, with an emphasis on

processing and analyzing large datasets. The successful candidate will work closely

with cross-functional teams to build robust data pipelines, refine models for production,

and enhance our existing ML infrastructure.

About Arturo

At Arturo, “Property is Personal.” Arturo is on a mission to empower people by providing clarity

around the past, present and future of property. How do we do it? By gathering, synchronizing, and analyzing imagery and other data surrounding properties, we provide property insights that drive faster, smarter, and more confident decisions. We turn data into intelligence, giving insurers the ability to better predict the unpredictable and protect customers from the unimaginable.

Our team of technologists, data scientists and innovators are channeling the power of machine

learning to put technology in service of people. Our goal is not just to optimize the way insurance carriers serve their customers, but to give those customers the confidence to look forward, be bold, and live their lives fearlessly, no matter what lies ahead. To help people protect their most personal assets and the lives they’ve worked so hard to build. Because nothing is more personal than property, insurance has to be too.

Arturo’s artificial intelligence (AI) models help insurance carriers make smarter decisions throughout the policy lifecycle, from the property level to the portfolio level. Arturo’s AI-based platform helps insurers securely underwrite risks, efficiently allocate resources, and lower claims cost across their book of business, allowing them to focus on what matters most: the customer, and our shared commitment to protecting our world.

Our origin as a company developed inside of American Family Insurance sets us apart. We know the business like the back of our hand—because we were once part of it. Today, Arturo continues to build solutions with customer success in mind. Arturo consistently adapts to an ever-changing professional landscape.

We are a start-up culture in every sense of the word…we hold a high bar, we lead with empathy, we expect creativity, operate with accountability, and strive for excellence in execution. We support our employees by providing a remote-first flexible work schedule, competitive benefits and a flexible time off policy.

Location

Though we do support a remote work environment, our preference is candidates that are located in Utah. However we are open to remote employees in the following states: California, Colorado, Illinois, Maryland, Massachusetts, Missouri, and Texas. Please only apply if you live or are willing to relocate (at your own expense) to one of these states.

What You’ll Do

Develop ML Models: Design and deploy machine learning models for production

environments using Python and ML frameworks.

Data Pipeline Construction: Build and manage ETL pipelines, integrating models

seamlessly into various applications.

Model Optimization: Optimize infrastructure for scalability, cost efficiency, and

iterative improvement of models.

Cross-Functional Collaboration: Work with data scientists, engineers, and

third-party vendors on projects.

ML Infrastructure Management: Maintain and improve our existing ML

infrastructure, implementing CI/CD processes for machine learning.

What You Bring

Education: Bachelor's or Master's degree in Computer Science, Engineering,

Statistics, or a similar quantitative field.

ML & Data Science Expertise: Strong understanding of machine learning

concepts, model lifecycle management, and data science libraries and

frameworks.

Python Proficiency: Proficiency in Python, with experience in data science and ML

libraries such as TensorFlow, scikit-learn, or PyTorch.

AWS Skills: Familiarity with AWS services like SageMaker, Lambda, EC2, and S3 is

a plus.

Data Pipeline Experience: Experience in creating and managing ETL pipelines,

data warehousing, and streaming data services.

Problem-Solving Skills: Resourceful, creative problem solver with a preference for

minimal guidance in dynamic environments.

Communication Skills: Excellent communication and collaboration skills to work

effectively with cross-functional teams.

Arturo

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