Allstate - Senior Machine Learning Engineer

Client: Allstate

Location: Remote

Contract: undefined

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, where 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 possess 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 and 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.

Requirements

• 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.

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.

Additional Information

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.

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