Job Description

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
About the Role
If you are passionate about coding, curious about AI and machine learning, and excited to build real products that make an impact, this apprenticeship is for you. As a Software Engineer Apprentice, you will work with experienced engineers to design, build, and support software solutions that help power Allstate's technology and AI initiatives.
You will gain hands-on experience with modern engineering tools, learn industry best practices, and develop your skills through real project work, mentorship, and continuous learning.



Why This Role Matters


You will help shape the software and AI systems that support Allstate's digital experiences. Your work will contribute to real products, real users, and real business outcomes. This is your chance to grow as an engineer while learning from supportive teammates who want to help you succeed.



Candidates must be actively enrolled in a 2year community college and or technical program during the full duration of the apprenticeship program. Students are required to have a minimum GPA of 3.0 to apply.



What You Will Do


• Build and support software that uses AI and machine learning to solve real business problems
• Develop code using Python, Java, or C++
• Use machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
• Learn how to deploy and manage enterprise AI models using AppFabric Plus
• Analyze data using SQL and apply math concepts like linear algebra, probability, and statistics
• Work with engineers, product managers, and analysts to design solutions
• Help troubleshoot and improve complex systems
• Share your findings and explain technical concepts to teammates
• Stay current with new tools, trends, and technologies in AI, ML, and cloud engineering

What You Will Learn


This apprenticeship gives you exposure to:


• AI and machine learning development
• Real-world deployment of enterprise AI systems
• Modern software engineering practices
• Problem-solving on cross-functional teams
• How digital products are built and maintained
• Cloud, data, and automation technologies

What You Bring

Education


• Pursuing a degree in Computer Science, Artificial Intelligence, Data Science, or a related engineering field
• Strong academic performance with interest in AI and machine learning

Technical Skills


• Knowledge of Python, Java, or C++
• Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn
• Understanding of AI and ML concepts including supervised learning, deep learning, neural networks, NLP, and reinforcement learning
• SQL skills for data extraction and preparation
• Understanding of linear algebra, probability, and statistics

Soft Skills


• Strong analytical thinking and problem-solving abilities
• Clear written and verbal communication
• Ability to work in a fast-paced, collaborative environment
• Curiosity, adaptability, and eagerness to learn new technologies



Skills



Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.


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 Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.


To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.


It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Job Tags

Contract work, Internship, Work at office, Work visa

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