Sr. Machine Learning Engineer – Platform

State Farm
State Farm

Job Overview


We are not just offering a job but a meaningful career! Come join our passionate team!

As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.

We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!

Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!


AI/ML Engineering – MLOps Team is looking for  Machine Learning Platform Engineers that will help build a repeatable MLOps framework on top of our AWS AI/ML modeling platform. The MLOps framework will be used by Data Scientists, Data Engineers and Machine Learning Engineers within the Enterprise to train and deploy machine learning models on AWS with minimal code.

Experienced candidates will:

  • Interact with Machine Learning Engineers, Data Scientists and Data Engineers to design and architect the a reusable MLOps framework, develop platform capabilities and automation to support model lifecycle on AWS, implement platform integrations with AI/ML advanced capabilities like feature store, MLOps and platform support and enhancements.
  • Design technical architecture direction and strategy for solutions
  • Strong software development skills with an innate curiosity and drive for continuous learning and improvement.
  • Comfortable working in the grey and proactively drive work in a timely manner
  • Good written and verbal communication skills
  • Qualifications

  • 3+ years direct experience working with machine learning lifecycle, environments, and platforms
  • In-depth knowledge of at least one high-level programming language, preferably Python
  • Experience using Terraform (infrastructure as code)
  • Developer experience in working with AWS services like Sagemaker, S3, Lambda, Athena, IAM, AWS step functions
  • Ability to use a CI/CD pipeline to deploy applications on AWS Proficiency in developing, deploying, and debugging cloud-based applications using AWS
  • Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
  • Ability to write code using AWS security best practices
  • Understanding of the use of containers in the development process
  • Office Location-

    * Enterprise Technology is a VIRTUAL FIRST work environment which means you will do a majority of your work from home, with some in-office days

  • Bloomington, IL
  • Dunwoody, GA
  • Richardson, TX
  • Tempe, AZ
  • Incumbency : This position will have a 12-mo incumbency period for lateral move & 6-mo incumbency period for a promotional opportunity (beginning on effective date of the position) which must be met before posting. 

    Why Join Our Team: 

    Enterprise Technology at State Farm accelerates professional growth across multiple development areas. First, communication skills will be sharpened through interactions with key business partners through clear articulation of technical concepts in a non-technical way. Working on a variety of projects, you will further refine your advanced analytical knowledge, software and tool development skills for use within the department. Finally, to help keep your skills sharp, we offer opportunities for practical research and continued professional development to learn and leverage cutting edge tools and many different programming languages.

    What You Can Expect:

    Next Steps: Apply now and competitive candidates  may  be invited to participate in an on-demand video interview that a hiring professional will evaluate. Further competitive candidates may be invited to a video interview with the hiring manager and/or work sample exercise.

    Sponsorship: Applicants are required to be eligible to lawfully work in the ; employer will not sponsor applicants for () for this opportunity




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