Remote Full Stack Machine Learning Engineer Jobs in Mesa, AZ

Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.

Good Things You Can Count On.  Hybrid schedule: 2 days remote / 3 inoffice  Predictable hours (no nights, weekends, or holidays)  Competitive pay + generous PTO  Medical, dental & vision starting day one  401(k), tuition reimbursement & longevity bonuses

We are growing our engineering organization and seeking Full Stack Developers across all experience levels who are excited about modern software development and AI-enabled engineering practices.

This is an opportunity to work in an environment where cloud-first architecture, automation, and AI-assisted development tools (e.g., GitHub Copilot and enterprise AI solutions) are actively embraced to improve productivity, code quality, and developer experience.

Whether you are early in your career or an experienced engineer, you'll contribute to building scalable systems while continuously evolving your technical and AI-assisted development skills.

What You Can Expect

• Hybrid work model (2 remote / 3 in-office)
• Predictable hours (no nights, weekends, or holidays)
• Competitive salary and generous PTO
• Medical, dental, and vision starting day one
• 401(k), tuition reimbursement, and longevity bonuses
• A modern engineering culture focused on:
• AI-assisted development and productivity tools
• Cloud-first application design
• Continuous learning and upskilling
• Strong mentorship and career growth paths

Role Responsibilities

Responsibilities will scale based on experience level and may include:

Core Engineering

• Design, develop, and maintain modern full-stack applications
• Build and integrate APIs and responsive user interfaces
• Write clean, secure, testable, and maintainable code
• Collaborate within Agile teams to deliver business value

Modern Engineering Practices

• Leverage AI-assisted coding tools (e.g., GitHub Copilot) to accelerate development and improve quality
• Contribute to cloud-first development practices using Azure services
• Participate in CI/CD pipelines, automation, and DevOps practices
• Help evolve engineering standards, reusable components, and best practices

Performance, Quality & Collaboration

• Monitor and optimize application performance and scalability
• Build and execute automated tests (unit, integration, end-to-end)
• Participate in code reviews and knowledge sharing
• Partner with product and business stakeholders on solution design

Advanced Contributions (Mid-Senior Levels)

• Influence system architecture and design decisions
• Mentor junior developers and support team growth
• Drive adoption of modern tools, frameworks, and AI capabilities
• Lead technical initiatives and continuous improvement efforts

We intentionally welcome candidates at different experience levels. If you meet many-but not all-of these, we encourage you to apply.

Foundational Qualifications

• Degree in Computer Science or related field, or equivalent practical experience
• Understanding of software development fundamentals
• Experience or exposure to object-oriented programming and web development
• Strong problem-solving skills and a growth mindset

Technical Skills (Experience-Based)

• Backend development experience (C#/.NET or similar technologies)
• Front-end development using modern frameworks (React, Angular, Vue, etc.)
• Understanding of RESTful APIs and web services
• Familiarity with cloud platforms (Azure preferred)
• Experience with databases (SQL and/or NoSQL)
• Knowledge of version control (Git) and collaborative workflows

Modern Engineering & AI (Preferred)

• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, etc.)
• Familiarity with cloud-native architectures and microservices
• Understanding of CI/CD pipelines and DevOps practices
• Exposure to application security and identity standards (OAuth, OpenID)
• Experience working in Agile environments (Scrum, Kanban)

Career Growth & Development

This role supports a wide range of career paths:

• Early Career: Build foundational skills with mentorship and guided development
• Mid-Level: Take ownership of features and expand technical depth
• Senior-Level: Lead design decisions, mentor others, and shape engineering practices

We actively invest in our engineers through:

• Hands-on learning and real-world problem solving
• AI and modern engineering skill development
• Clear advancement paths across technical and leadership tracks

Salary Range $77,762.70 - $180,082.10 + bonus

In accordance with applicable pay transparency laws, this range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

Parsippany, NJ; Conshohocken, PA; WilkesBarre, PA; Alpharetta, GA; Scottsdale, AZ

*Applicants must be authorized to work in the U.S. without current or future sponsorship.