Machine Learning Engineer

Allstate Technology Solutions is seeking a Machine Learning Engineer to join their innovative team focused on revolutionizing digital interactions across employees, agencies, and customers. This role is part of a pioneering force committed to leveraging cutting-edge technology, innovative product design, and artificial intelligence, with a particular emphasis on generative AI.

The position offers an exciting opportunity to work in a collaborative and dynamic environment where you'll be involved in the complete machine learning lifecycle - from model development to deployment. You'll be working alongside both junior and senior Machine Learning Engineers, tackling complex problems and delivering business value through advanced ML solutions.

The role requires a strong foundation in machine learning principles and programming, with experience in frameworks like PyTorch, TensorFlow, or Scikit-learn. You'll be working with state-of-the-art technologies, including deep learning, natural language processing, and potentially large language models and RAG applications.

Allstate, with its 90+ year history of innovation in the insurance industry, offers a unique environment where your work will directly impact how customers interact with their services. The company has a strong track record of technological advancement, from pioneering safety features to leading in pricing sophistication and telematics.

The position offers competitive compensation ranging from $104,000 to $187,625 annually, based on experience and qualifications. As part of Allstate's technology team, you'll have the opportunity to work on meaningful projects that protect families and their belongings while pushing the boundaries of what's possible in the insurance industry through technological innovation.

This is a fully remote position, offering flexibility while maintaining strong connections with team members. Allstate emphasizes inclusivity and diversity, providing an environment where employees can lead, drive change, and give back to their communities. The role represents not just a job, but an opportunity to make a significant impact while developing your skills in a supportive and forward-thinking organization.