Senior Machine Learning Engineer

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply remote type Fully Remote locations USA - IL (Remote) time type Full time posted on Posted 16 Days Ago job requisition id R18806 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 Senior 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 industry experience in machine learning and derive satisfaction from guiding junior engineers. Quick to learn and adapt, you are capable of utilizing all resources at your disposal-software, algorithms, models, and more-to comprehend and effectively handle intricate problems. You consider modeling within the context of implementation and runtime considerations. You are eager to contribute to model development across the entire lifecycle - from cloud services deployment, model tuning, to application deployment. As a Senior MLE, you will be part of a team comprised of junior and other senior MLEs. You should be comfortable working either independently or 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 navigate decisions between traditional modeling and GenAI. Ability to collaborate effectively with product managers, engineers, and business leaders. Can work independently on complex modeling projects. Experience mentoring junior engineers. 3+ years of experience in programming languages like Python, Java, or C++. 3+ years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn. Prior experience using deep learning, natural language processing, computer vision, or knowledge representation and reasoning to solve a business problem a plus. Prior experience prompting large language models and building RAG applications is a plus. Prior experience using cloud services (AWS, Azure, GCP) is a plus. #LI-PG1 Skills Deep Learning, Machine Learning, Machine Learning Algorithms Compensation Compensation offered for this role is $112,000.00 - 196,750.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click here for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click here for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the EEO is the Law poster click here . 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Similar Jobs (2) Machine Learning Engineer remote type Fully Remote locations USA - IL (Remote) time type Full time posted on Posted 16 Days Ago Managing Machine Learning Engineer remote type Fully Remote locations USA - IL (Remote) time type Full time posted on Posted 30+ Days Ago At Allstate, we work hard to help people live a good life every day. Allstaters are dedicated to serving clients, customers, and communities, which allows employees to find meaning and value in their work. Allstate offers an environment that fosters innovative thinking where you'll be able to explore your ideas and feel proud of the work you do. Allstate helps protect nearly 16 million households with auto, home, life, and retirement products. We want every professional connected to Allstate to be committed to giving our customers the best and that means finding the best talent. We want you to be our next great addition. It's easy to search and apply for a new opportunity with Allstate. 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