Machine Learning Software Engineer

Morgan & Morgan, P.A.; New York (NY); On-site; USD 198,000 - 242,000; Full time

Benefits offered by this job

Medical and dental insurance

401(k) plan

Paid time off

Paid holidays

Job summary

Morgan & Morgan, P.A. is seeking a Machine Learning Software Engineer to lead and contribute technically in a fast-paced, agile setting. You will design, deploy, and scale ML models while guiding engineers and fostering best practices across backend, frontend, and cloud infrastructure.

Join a collaborative team that values thoughtful design, high-quality code, and continuous improvement. The role emphasizes hands-on leadership and mentorship as you drive technical decisions and product impact in

Qualifications

• 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.

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 and clean architecture.
• Own the authoring and review of technical design documents.
• Lead sprint planning, retrospectives, and incremental delivery.
• Design and implement scalable systems across backend (Python/FastAPI), frontend (React), and AWS.
• Set and uphold high standards for code quality, testing, performance, and maintainability.
• Mentor and grow engineers through regular feedback and coaching.
• Lead code reviews and design reviews to drive shared decisions.
• Author and review technical design documents for long-term clarity.
• Build for resilience with observability and fault tolerance.

Skills

Leadership

Communication

Mentoring

Collaboration

Design reviews

Tools

Python/FastAPI

React

AWS

CI/CD

Terraform/OpenTelemetry

Job 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. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.

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. In this role, you’ll drive technical direction, mentor engineers, and guide the team toward sound engineering practices in a fast-paced, agile environment.

This is a hands-on leadership role, balancing deep technical contributions with thoughtful leadership and mentorship.

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

The anticipated full-time annualized salary range will be contingent upon various factors, including but not limited to, relevant experience, market data, job location, and other job-related factors permitted by law. The listed salary range does not include a bonus, which is part of the total compensation package that may be offered upon employment.

Salary Range: $220,000 Base Salary + Bonus

Salary Range: $220,000 USD - $220,000 USD

Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays.

Equal Opportunity Statement

Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

E-Verify

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.

Privacy Policy

Here is a link to Morgan & Morgan's privacy policy.