Machine Learning Engineer

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State Farm
Python, Modeling, Software, Engineering, Linux, Hub
Full Time
Work from home not available Travel not required

Job Description

One Company.......Many Careers!

For over 95 years, data has been key to State Farm. As a member of our data science team, you will work across the organization to solve business problems and help achieve business strategies. You will employ sophisticated, statistical approaches and state of the art technology. You will build and refine our tools/techniques and engage with internal stakeholders across the organization to improve our products & services.

Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.

A Day in the Life:
  • Builds and supports machine learning model deployment solutions that provide value to the business
  • Optimize machine learning model for deployment, including hyper-parameter tuning automation, scalability, and distributed learning
  • Demonstrates up-to-date expertise in software engineering practices and applies this to the development, execution, and improvement of machine learning models
  • DevOps practices for continuous integration and continuous delivery of machine learning models
  • Work with a wide variety of models, including text analytics, natural language processing, and computer vision models
  • Build solutions that optimize data science and analytic workflows
  • Utilize best practices for code version control using Git
  • Assists in providing computer science related guidance
  • Develop and support strategic enhancements to machine learning operations that support data science
  • Participate in research to maximize code and model reusability

We Are Looking for Candidates With These:

Must Have Skills:
  • Completed Bachelors, other advanced degrees, and five (5) years' experience in a computer science or technology related field such as DevOps engineering, software engineering, or developer, along with two (2) years experience deploying products related to artificial intelligence or machine learning solutions in a business environment.
  • Python - Pandas, Numpy, Sipy, Flask, Jupyter notebooks
  • Modeling - Scikit-learn, tensorflow, h2o, pyspark
  • Batch, synchronous model deployment experience
  • Data preparation, feature engineering workflows
  • Software Engineering - Classes, functions, Pycharm, unit tests, Pylint
  • Git - Best practices
  • Continuous Integration / Continuous Delivery using Gitlab - CI
  • Containerization - Docker, Kubernetes
  • Linux

Preferred/Desired Skills:
  • AWS
  • Hadoop Technologies
  • ML workflows - Kubeflow, MLflow
  • Asynchronous, near and real-time model deployment experience


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.

***Multiple location opportunity:

Dallas, Texas: Everything is big in Texas including opportunities at State Farm! Our CityLine Hub location offers easy access to DART, lots of parking and a wide variety of healthy dining options.

Phoenix, Arizona: Phoenix is hot! Looking for a cool job? Our Marina Heights Hub is conveniently located on Tempe Town Lake in close proximity to Downtown Tempe. It can be accessed by car, bus, light rail, bike share and soon the Tempe street car!

Bloomington, Illinois: Home to State Farm's Corporate Headquarters. Bloomington offers a fun, family-friendly, mid-sized community and boasts an average 15 minute rush hour commute. The community is very active and is home to two universities: Illinois State University and Illinois Wesleyan.

Atlanta: Join us in Atlanta where southern hospitality combines with cutting-edge innovation. Our associates enjoy access to fully equipped gyms and cafes with healthy food options on location. Our location offers easy access to MARTA.





Company Information

We have one of the largest developer communities in the country, utilizing the latest technologies in Open Source, Rules Engines and Server Oriented Architecture to develop responsive web-based and native mobile applications for both internal and external customers. Our data professionals are able to learn at one of the largest OLAP and Analytical environments in the world. Not to mention, our infrastructure professionals support one of the world's largest private networks with end-to-end connectivity between nearly 150,000 employees, agents, and agent team members at more than 21,000 State Farm locations.
Dice Id : RTL906969
Position Id : req9814
Originally Posted : 1 month ago

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