# Machine Learning Software Engineer

**Company**: Morgan & Morgan
**Location**: Brooklyn, New York
**Experience**: senior
**Job type**: full-time
**Salary**: $220,000 Base Salary + Bonus
**Category**: Engineering
**Industry**: Legal

**Apply**: https://job-boards.greenhouse.io/morganmorganjobsapplynow/jobs/6188319004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3f374604-0a5

## Description

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

## Skills

### Required
- Python
- FastAPI
- React
- AWS
- Agile development
- Machine Learning
- Software Testing
- CI/CD pipelines

### Nice to have
- infrastructure-as-code
- system observability tools
- open source contributions
- technical writing

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/morganmorganjobsapplynow/jobs/6188319004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)