Machine Learning Software Engineer

Morganmorganjobsapplynow; New York (NY); On-site; USD 187,000 - 253,000; Full time

Benefits offered by this job

Medical and dental insurance

401(k) plan

Paid time off

Paid holidays

Job summary

Morgan & Morgan is seeking a Machine Learning Software Engineer to lead engineering teams and drive technical direction in a fast-paced, agile environment. You will design, build, and deploy ML models, mentor engineers, and collaborate across product, design, and operations.

Candidates should bring 7+ years in software development, 4+ years in ML/LLM, strong Python (FastAPI) and React, and production AWS expertise. This hands-on leadership role emphasizes code quality and scalability.

Qualifications

• 7+ years of professional software development experience.
• 4+ years of AI/ML/LLM or exposure to ML systems.
• Deep proficiency in Python with FastAPI or similar framework.
• Strong React and front-end architecture experience.
• Production AWS and cloud-native architectures.
• Experience with testing, QA, and CI/CD pipelines.
• Experience leading agile ceremonies and teams.
• Strong communication and collaboration; mentoring track.

Responsibilities

• Design, build, and deploy ML models and pipelines at scale.
• Partner with software engineers to integrate ML into products.
• Champion test-driven development, code hygiene, and clean architecture.
• Own technical design documents for shared understanding.
• Lead sprint planning, retrospectives, and incremental delivery.
• Lead backend (Python/FastAPI), frontend (React), and AWS infrastructure.
• Set high standards for code quality, testing, and reliability.
• Mentor engineers and foster growth.
• Drive code reviews and architectural discussions.
• Document designs to ensure long-term clarity.
• Design resilient systems with observability and fault tolerance.
• Participate in incident response and postmortems.
• Collaborate with product/design/others on roadmap priorities.

Skills

Python

FastAPI

React

AWS

CI/CD

Agile

Mentoring

Communication

Tools

Terraform

CDK

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 — $220,000 USD

Benefits

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 you 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

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