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Machine Learning Product Engineer (Hybrid)

Allstate is one of America's largest insurance companies providing insurance products and services to millions of customers.
Machine Learning
Hybrid
5,000+ Employees
Insurance · Finance
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Description For Machine Learning Product Engineer (Hybrid)

Allstate, one of America's leading insurance providers, is seeking a Machine Learning Product Engineer to join their team in a hybrid work arrangement. This role combines software engineering expertise with machine learning capabilities to develop and implement innovative solutions for insurance products and services. The position offers an opportunity to work with a Fortune 100 company that has been at the forefront of insurance innovation for over 90 years.

The role involves working at the intersection of product development and machine learning, where you'll be responsible for building and deploying ML models that drive business value. You'll be part of a team that leverages cutting-edge technology to transform insurance products and customer experiences. This position offers exposure to large-scale data systems and the chance to impact millions of customers through your work.

At Allstate, you'll find a collaborative environment that encourages innovation and professional growth. The company's commitment to digital transformation makes this an exciting time to join the organization. You'll have access to modern tools and technologies, work with diverse teams, and contribute to meaningful projects that help protect people from life's uncertainties.

The hybrid work model offers flexibility while maintaining team collaboration and company culture. You'll be part of an organization that values work-life balance and provides comprehensive benefits. This role is ideal for someone who wants to combine technical expertise with business impact, working at a company with a strong market presence and commitment to technological advancement.

Last updated 12 days ago

Responsibilities For Machine Learning Product Engineer (Hybrid)

  • Develop and implement machine learning solutions
  • Collaborate with product teams to identify ML opportunities
  • Build and maintain ML models
  • Optimize model performance and scalability
  • Work with stakeholders to define technical requirements

Requirements For Machine Learning Product Engineer (Hybrid)

Python
  • Experience with machine learning and deep learning frameworks
  • Strong programming skills in Python
  • Experience with SQL and data manipulation
  • Understanding of software development lifecycle
  • Background in building and deploying ML models

Benefits For Machine Learning Product Engineer (Hybrid)

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Comprehensive medical, dental, and vision coverage
  • 401(k) retirement plan
  • Professional development opportunities
  • Work-life balance

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