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Senior Machine Learning Engineer - Job Opportunity at Allstate

Remote, US
Full-time
Senior
Posted: May 2, 2025
Remote
USD 112,000 - 196,750 per year

Benefits

Flexible work environment
Inclusive culture with diversity recognition
Professional development opportunities
Comprehensive background
Remote work flexibility

Key Responsibilities

Lead machine learning model development and deployment
Guide and mentor junior engineers
Solve complex business problems using ML techniques
Drive innovation in AI/ML applications
Collaborate with cross-functional teams
Design and implement production-ready ML solutions
Evaluate and implement GenAI solutions

Requirements

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major

Experience

3+ years

Required Skills

Python Java C++ PyTorch TensorFlow Scikit-learn Deep Learning Natural Language Processing Computer Vision Machine Learning Algorithms Cloud Services (AWS, Azure, GCP) RAG Applications
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Sauge AI Market Intelligence

Industry Trends

The insurance industry is rapidly embracing AI/ML for risk assessment and customer experience enhancement Generative AI integration is becoming a key differentiator in traditional industries Cloud-based ML operations are becoming standard practice Insurance companies are increasingly focusing on data-driven decision making

Salary Evaluation

The offered salary range is competitive for a senior ML role in insurance, aligning with market rates of USD 120,000 - 200,000 for similar positions

Role Significance

Likely part of a medium-sized ML team with multiple junior engineers, typical for enterprise insurance technology divisions
Senior-level position with significant technical leadership and mentoring responsibilities

Key Projects

Risk modeling and assessment systems Customer experience automation Claims processing optimization Fraud detection systems Generative AI implementation projects

Success Factors

Strong balance of technical expertise and business acumen Ability to translate complex ML concepts for business stakeholders Experience with production deployment of ML models Understanding of insurance industry regulatory requirements Proven mentorship abilities

Market Demand

Very high demand, particularly in insurance sector digital transformation initiatives

Important Skills

Critical Skills

Production ML deployment experience GenAI implementation expertise Cloud service integration capabilities Business problem-solving skills

Beneficial Skills

Insurance domain knowledge Risk modeling experience Regulatory compliance understanding Distributed systems knowledge

Unique Aspects

Focus on generative AI applications in traditional insurance
Combination of established insurance expertise with cutting-edge ML implementation
Strong emphasis on practical business value in ML applications

Career Growth

2-4 years in role before advancement, depending on project success and leadership demonstration

Potential Next Roles

Lead Machine Learning Engineer ML Architecture Lead AI/ML Technical Director Chief AI Officer

Company Overview

Allstate

Allstate is a leading insurance provider with a 90-year history of innovation in customer protection and risk management

One of the largest insurance providers in the US with significant investment in digital transformation
Strong national presence with growing emphasis on digital capabilities
Progressive technology culture within traditional insurance framework, emphasizing innovation and inclusion
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Job Listings Data

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  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
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