Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)

At Allstate, great things happen when our people work together to protect families and their belongings from lifes 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

Machine Learning Software Engineer Senior Consultant II implements applications following 12-factor principles to build out the product and iterative enhancements. They own the full stack of software products and backend services. They leverage test driven development and continuous integration to ensure agility and quality of products. They actively participate in the decision-making process of the team ensuring that the simplest appropriate technology and design is chosen to meet user needs.
This is a software engineering-first role. Strong Java/Spring Boot development experience is required. Experience deploying Machine Learning and Generative AI solutions into production is highly desirable.

Provides input into the architecture and design of the product; collaborating with the team in solving problems the right way

Designs, develops, andmaintainsfeatures across the product platform, including UI, APIs, backend services, and supporting infrastructure

Practices daily paired programming and test-driven development in writing software and building product

Expands test coverage and ensures adherence to test-driven development practices

Participatesin executing the strategy, keeping the customer needs and wants in mind

Serves as an expert on a specific business domain anddemonstratesleadership and accountability on at least one technology stack

Coaches more junior team members around different technologies and XP practices

Establishescontinuous integration, continuous delivery, and continuous deployment pipelines and practices

Reviews deployment readiness through automated and manual verification activities

Troubleshoot production issues and perform root cause analysis during service disruptions

Provides support for software products in user environments

Addresses security findings, vulnerability remediation, and compliance requirements

Leads andparticipatesin daily site, cross-site, and product team standups

Participatesin retrospectives to gather feedback and derive actionable items to improve the team and the product

Participatesin iteration planning meetings ensuring that the team hasa common understandingof each story and chores in a teams backlog

Experience

3 or more years of experience

Strongproficiencyin Java 17+ and Spring Boot4.x+

Proficiencyin Python

Experience deploying GenAI and/or machine learning systems into production. Experience building GenAI systems is preferred but notrequired.

Prior experiencebuildingand/orsupportingCI/CD pipelines (Jenkins, GitHub Actions, or equivalent).

Prior experience working with MongoDB, including schema design, indexing, and performance optimization

Demonstrated experience supportingproduction applications, monitoring, and incident response

Prior experience implementingauthentication (OAuth, OIDC, SSO)

Familiarity with observability platforms, logging, and application monitoring

Prior experience using cloud services (AWS, Azure, GCP) is a plus

Supervisory Responsibilities

This job does not have supervisory duties.

Skills

Application Programming Interface (API), Data Science, Java (Programming Language), Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Spring Boot

Compensation

Compensation offered for this role is 120,000.00 - 193,725.00 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 isnt just a job its 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.

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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.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.

Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.