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 special 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 lifecycle of machine learning projects - from model development to deployment. You'll be working alongside both junior and senior MLEs, applying the latest techniques and tools to solve complex business problems.

The ideal candidate should have a strong foundation in machine learning principles and programming, with experience in frameworks like PyTorch, TensorFlow, or Scikit-learn. While the role is entry-level friendly (0-3 years of professional experience), you should be comfortable with programming languages such as Python, Java, or C++.

Allstate offers a competitive salary range of $104,000 to $187,625 annually, based on experience and qualifications. The position is fully remote, providing flexibility while working with a team that's focused on pushing the boundaries of what's possible in the insurance industry.

The company has a rich 90-year history of innovation, from advocating for automotive safety features to leading in pricing sophistication and telematics. Now, they're expanding into device and identity protection, offering opportunities to work on cutting-edge projects that directly impact millions of customers.

This role is perfect for someone who is passionate about machine learning, eager to learn and adapt, and ready to contribute to meaningful projects that enhance customer experience and operational efficiency. The position offers the chance to work with large language models and RAG applications, though prior experience in these areas is a plus rather than a requirement.