AL Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus) Allstate · Remote · US · Machine Learning Engineering $120,000-$193,725 2w ago

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 team’s 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 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.

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.