Machine Learning Software Engineer
Brooklyn, NY - USA
Job Summary
At Morgan & Morgan the work we do matters. For millions of Americans were 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 6000 employees are all united by one mission: For the People.
Were 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 this role youll 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: $220000 Base Salary Bonus
Salary Range
$220000 - $220000 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
Here is a link to Morgan & Morgans privacy policy.
Required Experience:
IC
About Company
Morgan & Morgan is America’s Largest Personal Injury Law Firm. 1,000+ Lawyers. Over $20 billion earned. 24/7 free consultation. Contact us today for full details.