Job Description

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 Technology Solutions is dedicated to creating a new type of claims handling platform. By leveraging cutting edge technologies, innovative product design and true integration of artificial intelligence functions with emphasis on Generative AI, we will revolutionize what is means to be a Claims organization.


Our goal is to create a truly transformational customer experience, while also enabling significant opportunities for operational efficiencies.

Become a part of our story.

At Allstate Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what is possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.

The Opportunity:

As a Lead 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.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. A Ph.D. is a plus.
  • Deep understanding of machine learning algorithms and principles.
  • Prior experience working prompting/tuning large-language models
  • Ability to navigate decisions between traditional modeling and GenAI.
  • Ability to work closely with product managers, engineers, and business leaders.
  • Demonstrated experience leading ML teams, managing projects, and mentoring junior data scientists.
  • 5+ years of experience in programming languages like Python, Java, or C++.
  • 5+ years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn.
  • Prior experience using natural language processing, computer vision, or knowledge representation and reasoning to solve a business problem.
  • Prior experience using deep learning techniques to solve a business problem.
  • Prior experience using cloud services (AWS, Azure, GCP) is a plus.
  • Prior experience prompting/tuning large-language models is a plus.

    • Compensation offered for this role is $105,500.00-$178,250.00 per year and is based on experience and qualifications.

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