Allstate
Machine Learning Platform Engineer
Key aspects of the role:
- Drive sales growth by engaging with interested prospective customers- all while working remote
- No cold calling— Connect through inbound calls and proactive outbound calls with active insurance shoppers
- Enjoy competitive compensation with a base salary + uncapped commissions
- Sell reputable products from Allstate and our family of brands
Role overview
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
The Allstate’s Data & Analytics Technology organization is seeking a Machine Learning Platform Engineer to design, build, and scale the foundational platforms that power enterprise-wide machine learning development and deployment. In this role, you will work across cloud-native infrastructure, MLOps tooling, model lifecycle automation, and scalable ML systems to accelerate the adoption of AI/ML solutions across the organization. You will play a key role in shaping the core capabilities that enable data scientists and ML engineers to build reliable, secure, and production-ready models. You’ll collaborate with engineering, data science, product, and security teams to deliver high‑impact platform features while ensuring operational excellence, automation, and governance.
Key Responsibilities
- Design, build, and operate scalable ML platform components including training infrastructure, feature stores, model registries, inference services, and end‑to‑end workflow orchestration.
- Develop cloud‑native, distributed systems and CI/CD pipelines that ensure reliable, reproducible, and continuously delivered ML model deployments.
- Implement and mature MLOps capabilities such as experiment tracking, data and model versioning, model evaluation, monitoring, and automated retraining.
- Establish best practices for model lifecycle management, testing, and deployment across development, staging, and production environments.
- Integrate observability into ML systems, enabling deep visibility into performance, drift, data quality, and inference reliability.
- Build and optimize cloud-based ML infrastructure on Azure, AWS, and/or GCP using Kubernetes, container orchestration, and infrastructure‑as‑code tools.
- Develop scalable batch and real‑time data pipelines that power feature generation, training workflows, and high‑performance model serving.
- Ensure security, compliance, and cost-effectiveness across ML environments in partnership with platform, architecture, and governance teams.
- Collaborate with data scientists and applied ML teams to translate modeling needs into robust, reusable, and self-service platform capabilities.
- Work with security, compliance, and architecture partners to uphold responsible AI, governance, and data protection standards.
- Drive developer productivity by promoting self‑service tooling, reusable components, documentation, and engineering best practices.
- Contribute to Agile delivery processes while championing automation, engineering excellence, and continuous improvement.
Required Qualifications
- Strong software engineering background with experience building distributed systems or platform services.
- Hands-on experience with machine learning workflows, MLOps tooling, and productionizing ML solutions.
- Proficiency in Python and familiarity with ML libraries, frameworks, and backend development patterns.
- Experience with cloud platforms and ML services, including Azure ML Studio, AWS SageMaker, and/or Google Vertex AI.
- Exposure to cloud storage/data such as Azure Fabric/OneLake, AWS S3, and Google Cloud Storage (GCS).
- Experience with cloud-native scanning and security tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, GCP Security Command Center, or equivalent services.
- Strong understanding of technologies such as Kubernetes, Docker, CI/CD, Terraform/Infrastructure-as-Code, etc.
- Understanding of system design, API architecture, and scalable data/ML infrastructure.
- Strong communication and cross-functional collaboration skills.
- 4+ years of experience in ML engineering, platform engineering, or equivalent (preferred).
Supervisory Responsibilities:
- This job does not have supervisory duties.
Skills
Amazon S3, Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Azure Machine Learning Studio, CI/CD, Cloud Automation, Cloud Computing, Cloud Deployment, Cloud Operations, Cloud Software, DevOps, Google Cloud Platform (GCP), Google Cloud Storage, Google Cloud Vertex AI Search, Kubernetes, Machine Learning (ML), Machine Learning Operations, Microservice Framework, Microsoft Azure, Microsoft Cloud, Microsoft Defender, ML Frameworks, MLlib, Python Automation {+ 2 more}
Compensation
Compensation:
Base compensation offered for this role is $90,700.00 – $135,000.00 annually and is based on experience and qualifications.
*** Total compensation for this role is comprised of several factors, including the base compensation outlined above, plus incentive pay (i.e., commission, bonus, etc.) as applicable for the role.
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Sales
What We Do:
As an expert on our products and services, you can give customers personalized attention and innovative solutions to make their lives easier.
How We Support You:
Starting day one, you’ll have access to resources and incentives to keep you feeling challenged and excited about your careers.
Make An Impact:
As a member of our sales team, you’ll bring a sense of ease and support to customers looking for a better understanding of their protection options. Whether in the field or talking to customers over the phone, you’ll continue to build trust in who we are and what we do.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
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
The Allstate’s Data & Analytics Technology organization is seeking a Machine Learning Platform Engineer to design, build, and scale the foundational platforms that power enterprise-wide machine learning development and deployment. In this role, you will work across cloud-native infrastructure, MLOps tooling, model lifecycle automation, and scalable ML systems to accelerate the adoption of AI/ML solutions across the organization. You will play a key role in shaping the core capabilities that enable data scientists and ML engineers to build reliable, secure, and production-ready models. You’ll collaborate with engineering, data science, product, and security teams to deliver high‑impact platform features while ensuring operational excellence, automation, and governance.
Key Responsibilities
- Design, build, and operate scalable ML platform components including training infrastructure, feature stores, model registries, inference services, and end‑to‑end workflow orchestration.
- Develop cloud‑native, distributed systems and CI/CD pipelines that ensure reliable, reproducible, and continuously delivered ML model deployments.
- Implement and mature MLOps capabilities such as experiment tracking, data and model versioning, model evaluation, monitoring, and automated retraining.
- Establish best practices for model lifecycle management, testing, and deployment across development, staging, and production environments.
- Integrate observability into ML systems, enabling deep visibility into performance, drift, data quality, and inference reliability.
- Build and optimize cloud-based ML infrastructure on Azure, AWS, and/or GCP using Kubernetes, container orchestration, and infrastructure‑as‑code tools.
- Develop scalable batch and real‑time data pipelines that power feature generation, training workflows, and high‑performance model serving.
- Ensure security, compliance, and cost-effectiveness across ML environments in partnership with platform, architecture, and governance teams.
- Collaborate with data scientists and applied ML teams to translate modeling needs into robust, reusable, and self-service platform capabilities.
- Work with security, compliance, and architecture partners to uphold responsible AI, governance, and data protection standards.
- Drive developer productivity by promoting self‑service tooling, reusable components, documentation, and engineering best practices.
- Contribute to Agile delivery processes while championing automation, engineering excellence, and continuous improvement.
Required Qualifications
- Strong software engineering background with experience building distributed systems or platform services.
- Hands-on experience with machine learning workflows, MLOps tooling, and productionizing ML solutions.
- Proficiency in Python and familiarity with ML libraries, frameworks, and backend development patterns.
- Experience with cloud platforms and ML services, including Azure ML Studio, AWS SageMaker, and/or Google Vertex AI.
- Exposure to cloud storage/data such as Azure Fabric/OneLake, AWS S3, and Google Cloud Storage (GCS).
- Experience with cloud-native scanning and security tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, GCP Security Command Center, or equivalent services.
- Strong understanding of technologies such as Kubernetes, Docker, CI/CD, Terraform/Infrastructure-as-Code, etc.
- Understanding of system design, API architecture, and scalable data/ML infrastructure.
- Strong communication and cross-functional collaboration skills.
- 4+ years of experience in ML engineering, platform engineering, or equivalent (preferred).
Supervisory Responsibilities:
- This job does not have supervisory duties.
Skills
Amazon S3, Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Azure Machine Learning Studio, CI/CD, Cloud Automation, Cloud Computing, Cloud Deployment, Cloud Operations, Cloud Software, DevOps, Google Cloud Platform (GCP), Google Cloud Storage, Google Cloud Vertex AI Search, Kubernetes, Machine Learning (ML), Machine Learning Operations, Microservice Framework, Microsoft Azure, Microsoft Cloud, Microsoft Defender, ML Frameworks, MLlib, Python Automation {+ 2 more}
Compensation
Compensation:
Base compensation offered for this role is $90,700.00 – $135,000.00 annually and is based on experience and qualifications.
*** Total compensation for this role is comprised of several factors, including the base compensation outlined above, plus incentive pay (i.e., commission, bonus, etc.) as applicable for the role.
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Claims
What We Do:
Your ability to quickly and calmly make smart decisions can make a huge difference in how confident customers feel throughout the claims process. And as you support our customers, we’re there to support you.
How We Support You:
We empower your success starting day one. You’ll have access to everything you need to grow professionally while helping our customers get their lives back on track.
Make An Impact:
Helping customers with their claims is about learning their stories, not just processing their paperwork. You can take pride in the fact that you’re providing invaluable guidance and helping to build continued trust in our company.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
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
The Allstate’s Data & Analytics Technology organization is seeking a Machine Learning Platform Engineer to design, build, and scale the foundational platforms that power enterprise-wide machine learning development and deployment. In this role, you will work across cloud-native infrastructure, MLOps tooling, model lifecycle automation, and scalable ML systems to accelerate the adoption of AI/ML solutions across the organization. You will play a key role in shaping the core capabilities that enable data scientists and ML engineers to build reliable, secure, and production-ready models. You’ll collaborate with engineering, data science, product, and security teams to deliver high‑impact platform features while ensuring operational excellence, automation, and governance.
Key Responsibilities
- Design, build, and operate scalable ML platform components including training infrastructure, feature stores, model registries, inference services, and end‑to‑end workflow orchestration.
- Develop cloud‑native, distributed systems and CI/CD pipelines that ensure reliable, reproducible, and continuously delivered ML model deployments.
- Implement and mature MLOps capabilities such as experiment tracking, data and model versioning, model evaluation, monitoring, and automated retraining.
- Establish best practices for model lifecycle management, testing, and deployment across development, staging, and production environments.
- Integrate observability into ML systems, enabling deep visibility into performance, drift, data quality, and inference reliability.
- Build and optimize cloud-based ML infrastructure on Azure, AWS, and/or GCP using Kubernetes, container orchestration, and infrastructure‑as‑code tools.
- Develop scalable batch and real‑time data pipelines that power feature generation, training workflows, and high‑performance model serving.
- Ensure security, compliance, and cost-effectiveness across ML environments in partnership with platform, architecture, and governance teams.
- Collaborate with data scientists and applied ML teams to translate modeling needs into robust, reusable, and self-service platform capabilities.
- Work with security, compliance, and architecture partners to uphold responsible AI, governance, and data protection standards.
- Drive developer productivity by promoting self‑service tooling, reusable components, documentation, and engineering best practices.
- Contribute to Agile delivery processes while championing automation, engineering excellence, and continuous improvement.
Required Qualifications
- Strong software engineering background with experience building distributed systems or platform services.
- Hands-on experience with machine learning workflows, MLOps tooling, and productionizing ML solutions.
- Proficiency in Python and familiarity with ML libraries, frameworks, and backend development patterns.
- Experience with cloud platforms and ML services, including Azure ML Studio, AWS SageMaker, and/or Google Vertex AI.
- Exposure to cloud storage/data such as Azure Fabric/OneLake, AWS S3, and Google Cloud Storage (GCS).
- Experience with cloud-native scanning and security tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, GCP Security Command Center, or equivalent services.
- Strong understanding of technologies such as Kubernetes, Docker, CI/CD, Terraform/Infrastructure-as-Code, etc.
- Understanding of system design, API architecture, and scalable data/ML infrastructure.
- Strong communication and cross-functional collaboration skills.
- 4+ years of experience in ML engineering, platform engineering, or equivalent (preferred).
Supervisory Responsibilities:
- This job does not have supervisory duties.
Skills
Amazon S3, Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Azure Machine Learning Studio, CI/CD, Cloud Automation, Cloud Computing, Cloud Deployment, Cloud Operations, Cloud Software, DevOps, Google Cloud Platform (GCP), Google Cloud Storage, Google Cloud Vertex AI Search, Kubernetes, Machine Learning (ML), Machine Learning Operations, Microservice Framework, Microsoft Azure, Microsoft Cloud, Microsoft Defender, ML Frameworks, MLlib, Python Automation {+ 2 more}
Compensation
Compensation:
Base compensation offered for this role is $90,700.00 – $135,000.00 annually and is based on experience and qualifications.
*** Total compensation for this role is comprised of several factors, including the base compensation outlined above, plus incentive pay (i.e., commission, bonus, etc.) as applicable for the role.
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.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Benefits
Experience the benefits that make Allstate a great place to work.
*Benefits vary based on position.
Health
- Medical, dental and vision coverage
- HSAs and FSAs
- Wellbeing programs
- Free therapy sessions
Retirement
- 401(k) plan
- Pension plan
- Free financial counseling
Work-life balance
- Paid time off
- Work flexibility
Career development
- Talent shares
- Tuition reimbursement
- Learning opportunities
For a full description of Allstate’s benefits visit our benefits page
Start making a difference
Realize your full potential by doing
work that matters.
Grow your career in meaningful ways.
We want to make sure you have every opportunity to grow, explore new horizons and follow your passion in a meaningful career. It’s an exciting time to join Allstate. Help us shape the future.
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