Machine Learning Software Engineer

At Morgan & Morgan, the work we do matters. For millions of Americans, we're their last line of defense against insurance companies, large corporations or defective goods.

We're looking for a Machine Learning Software Engineer who is passionate about building high-quality software and leading engineering teams with a strong sense of technical rigor and collaboration.

Responsibilities:

• Design, build, and deploy ML models and pipelines at scale
• Partner with software engineers to integrate ML into products
• Elevate code quality: Champion test-driven development, code hygiene, and clean architecture across the team
• Design leadership: Own the authoring and review of technical design documents that drive shared understanding and decision-making across teams
• Agile delivery: Lead sprint planning, retrospectives, and incremental delivery with a strong bias toward iteration and value delivery
• Lead by example: Design and implement scalable, robust systems across the backend (Python/FastAPI), frontend (React), and cloud infrastructure (AWS)
• Raise the bar: Set and uphold high standards for code quality, testing, performance, and maintainability
• Mentor and grow engineers: Provide technical mentorship and encourage a growth mindset through regular feedback and coaching
• Drive technical alignment: Lead code reviews, design reviews, and engineering discussions that result in thoughtful, well-documented decisions
• Champion documentation: Author and review technical design documents to guide team implementation and maintain long-term clarity
• Build for resilience: Design systems with fault tolerance, observability, and graceful degradation in mind; guide the team in applying principles of reliability and operational excellence
• Lead incident response and learning: Participate in and improve incident response processes, drive actionable postmortems, and promote a culture of continuous improvement
• Cross-functional alignment: Collaborate with product managers, designers, and other stakeholders to ensure alignment on roadmap priorities and delivery timelines

Requirements:

• 7+ years of professional software development experience
• 4+ years of professional experience with AI/ML/LLM or exposure to machine learning systems and large language models
• Deep proficiency in Python, particularly with FastAPI or similar frameworks
• Strong experience with React and front-end application architecture
• Production experience with AWS and modern cloud-native architectures
• Demonstrated expertise in software testing, quality assurance, and CI/CD pipelines
• Experience with Agile development methodologies and leading agile ceremonies
• Strong communicator and collaborator; able to lead design reviews and drive consensus
• Proven track record of mentoring and elevating teammates' technical growth
• Exceptional communication and collaboration skills with a focus on cross-functional alignment

Nice to Have:

• Experience with infrastructure-as-code (Terraform, CDK, or similar)
• Familiarity with system observability tools (e.g., Datadog, OpenTelemetry)
• Contributions to open source or technical writing (blogs, documentation, etc.)

Why Join Us:

• Be part of a fast-growing software engineering team within a stable, established company
• Opportunities for career advancement, ownership, and professional development
• Lead high-impact projects and influence the technical direction of our systems and culture
• Work with passionate engineers who value thoughtful design, high-quality code, and continuous improvement