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 Managing 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 have prior industry experience with machine learning and find fulfillment in teaching and guiding others. You can learn and adapt quickly and are able to use every tool at your disposal—software, algorithms, models, and beyond—to understand and effectively tackle complex problems. You think about modeling in the context of implementation and runtime considerations. You want to take ownership of model development across the entire lifecycle from cloud services deployment to model tuning to deploying applications.

The Managing MLE will lead a small team of junior and senior MLEs. At Allstate, we believe in the player / coach model where our Managing MLEs spend a significant majority of their time solving complex problems and applying their skills to create business value.

Bachelors or Masters degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. A Ph.D. is a plus.
Deep understanding of machine learning algorithms and principles.

Prior experience prompting large language models and building RAG applications.
Ability to navigate decisions between traditional modeling and GenAI. 
Ability to collaborate effectively with product managers, engineers, and business leaders.
Demonstrated experience in leading ML teams, managing complex projects, and mentoring junior data scientists.
5+ years of experience in programming languages like Python, Java, or C++.
5+ years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn.
Prior experience using natural language processing, computer vision, or knowledge representation and reasoning to solve a business problem.
Prior experience in employing deep learning techniques for solving business problems is a plus.
Prior experience using cloud services (AWS, Azure, GCP) is a plus.

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Skills

Algorithms, Artificial Intelligence (AI), Cloud Based Services, Computer Science, Computer Vision, Deep Learning, Language Processing, Machine Learning, Machine Learning Algorithms, Natural Language, Natural Language Processing (NLP), Programming Languages, Python (Programming Language)

Compensation

Compensation offered for this role is $157,600.00 - 234,400.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

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. And one where you can impact the future for the greater good.

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.

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”. 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 employees 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.