Machine Learning Engineer II

"About the job

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence with an emphasis on generative AI, to create a world-class customer experience that transcends boundaries.

We aim to redefine the customer experience, ensuring consistency across all touchpoints and channels while unveiling substantial opportunities for operational efficiency.

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.

As a Machine Learning Engineer (MLE), you relish the challenge of solving business problems using the latest techniques and tools to bring models to life that deliver business value. You bring prior knowledge of machine learning and modeling. Quick to learn and adapt, you are eager to learn how to use all the resources at your disposal—software, algorithms, models, and more—to comprehend and effectively handle intricate problems. You are eager to contribute to model development across the entire lifecycle—from cloud services deployment, model tuning, to application deployment.

As an MLE, you will be part of a team comprised of junior and senior MLEs. You should be comfortable working collaboratively with other engineers to derive business value from complex machine learning projects.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. A Ph.D. is a plus.

• Experience applying machine learning algorithms and principles.

• Ability to collaborate effectively with product managers, engineers, and business leaders.

• 0-3 years of professional experience in machine learning and/or data science

• 1-4 year of experience in programming languages like Python, Java, or C++, including academic and internship experience.

• 1-4 years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn, including academic and internship experience.

• Prior experience using deep learning, natural language processing, computer vision, or knowledge representation and reasoning a plus.

• Prior experience prompting large language models and/or building RAG applications is a plus.

Skills

Algorithms, Artificial Intelligence (AI), Data Science, Machine Learning, Machine Learning Algorithms, Natural Language Processing (NLP)

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