Allstate - 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.

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.

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 collaborate effectively with product managers, engineers, and business leaders.
• 0-3 years of professional experience in machine learning and/or data science.
• 1-4 years 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 is a plus.
• Prior experience prompting large language models and/or building RAG applications is a plus.

Skills

Artificial Intelligence (AI), Machine Learning, Machine Learning Algorithms

Compensation

Compensation offered for this role is $104,000.00 - 187,625.00 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.

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.

For jobs in San Francisco, please refer to the San Francisco Fair Chance Ordinance.

For jobs in Los Angeles, please refer to the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster, click “here”.

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It is the Company’s policy to employ the best qualified individuals available for all jobs. Any discriminatory action based on various criteria, including race, gender, or military status is prohibited.

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