Applied Machine Learning Engineer (All Levels)

allstate; Illinois; On-site; USD 110,000 - 181,025; Full time

Benefits offered by this job

Technology setup provided

Connectivity reimbursement for remote/

Job summary

Allstate is seeking a Machine Learning Engineer to design, build, and operate ML models that drive business impact. You will work across the full ML lifecycle—data exploration, feature engineering, model building, deployment, monitoring, and improvement—with emphasis on pair programming and testing.

The role spans entry to senior levels, with opportunities to lead end-to-end ML initiatives, mentor teammates, and influence technical direction.

Qualifications

• Bachelor’s degree in a STEM field, or equivalent experience.
• 0–2 years for Entry-Level, 3+ years for mid-level, 3+ years for senior roles in ML.
• Experience deploying and operating ML systems is preferred.

Responsibilities

• Support model development, data exploration, testing, and deployments; pair programming.
• Build and deploy production ML models and own components of ML projects.
• Lead end-to-end ML initiatives, architect pipelines, and mentor juniors.

Skills

Applied Machine Learning

Machine Learning Algorithms

Model Building & Evaluation

Python

PyTorch

SQL

TensorFlow

Education

Bachelor’s degree (STEM preferred)

Tools

Spark

MLflow

SageMaker

Azure ML

Docker

CI/CD

AWS

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

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 to create a world‑class customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels.

We work in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.

About the Role

As a Machine Learning Engineer at Allstate, you will design, build, and operate machine‑learning models that deliver real business impact. You’ll work across the full ML lifecycle—including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test‑driven development to ensure high‑quality, reliable solutions.

What You’ll Do (Responsibilities Vary by Level)

• Entry‑Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
• Mid‑Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross‑functional teams.
• Senior‑Level (Senior Consultant II): Lead end‑to‑end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction.

Education

Bachelor’s degree (STEM preferred).

Experience

• Entry‑Level: 0–2 years (academic, internship, or professional).
• Mid‑Level: 3+ years building ML solutions.
• Senior‑Level: 3+ years deploying and operating ML systems.

Technical Skills

• Python (pandas, numpy, scikit‑learn) and software engineering fundamentals.
• ML libraries: scikit‑learn, XGBoost, LightGBM (required); PyTorch/TensorFlow (plus).
• SQL for data exploration and feature engineering.
• Model evaluation and interpretability (e.g., SHAP).
• Willingness to learn Terraform, Java, and TypeScript (no prior experience required).
  

Soft Skills

• Strong communication and collaboration abilities.
• Ability to work with technical and non‑technical partners.
• Leadership and mentoring experience for senior roles.

Preferred Qualifications

• Spark or distributed computing.
• Familiarity with APIs, containers, CI/CD, monitoring, drift detection.
• MLflow, SageMaker, Azure ML, Docker, CI/CD.
• AWS, Azure, or GCP cloud experience.
• Experience with deep learning, NLP, computer vision, or LLM/RAG.
• Prior ownership of end‑to‑end ML products.
• Insurance or financial services experience.

Skills

• Applied Machine Learning
• Machine Learning Algorithms
• Model Building & Evaluation
• Python (Programming Language)
• PyTorch
• Structured Query Language (SQL)
• TensorFlow

Compensation

Compensation offered for this role is 110,000.00 – 181,025.00 annually and is based on experience and qualifications.

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

EEO Statement

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.

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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 summarizes the major provisions of the Family and Medical Leave Act (FMLA) and tells 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.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.