Senior Machine Learning Engineer (Remote - Home Based Worker)

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

 

You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.

 

Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection.

 

We are the Good Hands. We don’t follow the trends. We set them.

The Team:

Allstate is committed to redefining the entire customer insurance journey. By harnessing the power of advanced models, state-of-the-art technologies, and inventive product design, we aim to revolutionize how insurance operates in the 21st century. Our mission is to create a transformative customer experience, from the moment a customer considers buying coverage with us to the moment they must use that coverage in their time of need, while also unlocking substantial opportunities for operational efficiencies.

 

Join us in shaping the future. At Allstate, you’ll be part of a dynamic, collaborative team that thrives on exploring new capabilities and pushing the boundaries of what's possible. The team works in a continuously innovating cycle of ideas, research, testing, analysis, and delivery. With ongoing growth and development opportunities, you'll not only have the chance to transform our tech products but also to enhance your own skills through programs like Pluralsight and LinkedIn Learning courses as well as tuition reimbursement.

 

And that’s not all - here at Allstate, we believe in fostering an inclusive workplace that encourages employees to bring their unique perspectives and experiences to the table. We believe in collaborative problem-solving to elevate our customer experience.

 

If you're a Machine Learning Engineer ready to apply your skills and innovative thinking to reshape the insurance industry, we want you on our team. Your expertise will help us drive meaningful changes that enhance the insurance journey for our customers. Ready to make a difference? Join us.

The Position:

As a Senior Machine Learning Engineer, you relish the challenge of solving business problems using the latest techniques and tools to bring models to life that deliver business value. You have prior industry experience with machine learning and find fulfillment in teaching and guiding others. You can learn and adapt quickly and are able to use every tool at your disposal—software, algorithms, models, and beyond—to understand and effectively tackle complex problems. You think about modeling in the context of implementation and runtime considerations. You appreciate the difference between training and explaining models, the importance of good metrics, and the tradeoff between exploration and exploitation. You can perceive common structures between seemingly unrelated problems, and can use this to build tools, algorithms, and models with super-linear value. Your responsibilities include…

 

• Developing, implementing, and maintaining models or algorithms used for solving complex problems.
• Collaborating with cross-functional teams to understand business needs and identifying appropriate machine learning solutions.
• Conducting experiments to stay up-to-date with the latest technologies and techniques in machine learning and artificial intelligence.
• Evaluating and improving the performance of existing machine learning models.
• Presenting complex data insights in a clear and concise manner to stakeholders.
• Participating in the full lifecycle of machine learning projects, from conception to deployment.
• Ensuring the robustness and reliability of the developed systems.
• Contributing to the development of data strategy and architecture around the developed systems.
• Leading junior members of the team through the software development and ma