Software Engineer, Data & ML Infrastructure (WFH)
Torentify · United States
FULL-TIME
Posted Oct 28, 2026
Job Description
About the Company
Surgeon Decision Intelligence (SDI) develops AI-driven medical imaging solutions for orthopedic care. Founded by orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the company focuses on developing quantitative imaging biomarkers to inform treatment decisions and predict outcomes for musculoskeletal diseases.
SDI combines computer vision, medical image analysis, and machine learning to extract insights from MRI scans and help translate research into clinical practice. The team works closely with surgeons, clinical collaborators, and research partners to develop accurate, interpretable, and reproducible solutions.
About the Role
Surgeon Decision Intelligence is seeking a Software Engineer, Data & ML Infrastructure to build and maintain the data systems and infrastructure supporting its AI/ML platform. Working directly with the Senior AI/ML Engineer, you will develop and maintain the PostgreSQL clinical and imaging database, cloud storage for medical imaging studies, internal APIs, and the tooling and CI/CD infrastructure that supports reliable machine learning development.
This is a hands-on software engineering position rather than a research role. You will write production-quality Python, manage database migrations, develop data validation tools, modernize legacy research code, and build internal services used by machine learning and clinical teams. The role offers the opportunity to work with medical imaging and applied machine learning in a regulated healthcare environment.
Key Responsibilities
Develop and maintain the PostgreSQL database layer, including schema changes, SQLAlchemy ORM models, Alembic migrations, and data-integrity constraints.
Build and maintain data ingestion, validation, and ETL pipelines for clinical outcomes data and medical imaging metadata, including DICOM.
Contribute to internal FastAPI services and develop endpoints for imaging metadata, annotations, and access control.
Support Azure cloud infrastructure, including blob storage for imaging studies, containerized service deployments, and authentication and authorization workflows.
Migrate legacy research code into versioned, dependency-managed Python packages that follow established engineering standards.
Develop and maintain CI/CD pipelines, automated tests, and developer tools to improve code reliability and reproducibility.
Build tools that support machine learning workflows, including dataset extraction and export, experiment and artifact tracking, and data provenance.
Participate in code reviews and contribute to engineering standards, technical documentation, and collaborative development practices.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 3 years of professional software development experience using Python.
Solid knowledge of SQL and relational databases, preferably PostgreSQL, including schema design and query optimization.
Experience with software development lifecycle practices, including version control, testing, CI/CD, and collaborative development workflows.
Experience with data and ML infrastructure, such as data pipelines, feature stores, model deployment, containerization, or orchestration frameworks.
Experience with cloud-based machine learning pipelines, particularly Azure, and infrastructure-as-code tools.
Proficiency with Git, including branching, pull requests, and code reviews.
Experience writing tested, documented, production-quality code using Python type hints and modern packaging practices.
Strong communication skills and the ability to work effectively in a small, fast-moving team.
Preferred Qualifications
Experience with SQLAlchemy or other ORM tools and database migration solutions such as Alembic.
Experience building REST APIs with FastAPI or a similar Python web framework.
Experience with Azure services, including blob storage, container apps, and Entra ID, or another major cloud platform.
Familiarity with Docker and CI/CD systems such as GitHub Actions.
Experience with healthcare data, including DICOM, medical imaging pipelines, clinical registries, or EHR-derived datasets.
Understanding of HIPAA requirements and handling protected health information (PHI) in production systems.
Familiarity with machine learning engineering tools such as MLflow and model or data versioning.
Experience supporting machine learning teams, even without direct model development responsibilities.
Experience with Python dependency management tools such as uv or Poetry and publishing internal packages.
Experience improving the structure and maintainability of legacy codebases.
Familiarity with software quality practices for regulated medical software, including requirements traceability, validation, configuration management, and controlled releases.
Experience with orchestration or workflow systems for data and ML pipelines, particularly Databricks.
Salary & Benefits
The annual base salary range is $140,000–$175,000. The compensation package also includes equity and benefits, with compensation determined based on experience.
Location and Work Arrangement
The position is initially remote within the United States. The selected candidate must be able to transition to in-person work in New York City in approximately six months.
Why Join Surgeon Decision Intelligence?
Contribute to technology designed to advance clinical management of musculoskeletal health and disease.
Work with a multidisciplinary team of engineers and clinicians.
Develop expertise in medical imaging, data infrastructure, and applied machine learning.
Grow professionally in a startup environment focused on translating AI research into practical healthcare applications.
Equal Employment Opportunity
Surgeon Decision Intelligence provides equal employment opportunities to all employees and applicants. The company prohibits discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.
Surgeon Decision Intelligence (SDI) develops AI-driven medical imaging solutions for orthopedic care. Founded by orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the company focuses on developing quantitative imaging biomarkers to inform treatment decisions and predict outcomes for musculoskeletal diseases.
SDI combines computer vision, medical image analysis, and machine learning to extract insights from MRI scans and help translate research into clinical practice. The team works closely with surgeons, clinical collaborators, and research partners to develop accurate, interpretable, and reproducible solutions.
About the Role
Surgeon Decision Intelligence is seeking a Software Engineer, Data & ML Infrastructure to build and maintain the data systems and infrastructure supporting its AI/ML platform. Working directly with the Senior AI/ML Engineer, you will develop and maintain the PostgreSQL clinical and imaging database, cloud storage for medical imaging studies, internal APIs, and the tooling and CI/CD infrastructure that supports reliable machine learning development.
This is a hands-on software engineering position rather than a research role. You will write production-quality Python, manage database migrations, develop data validation tools, modernize legacy research code, and build internal services used by machine learning and clinical teams. The role offers the opportunity to work with medical imaging and applied machine learning in a regulated healthcare environment.
Key Responsibilities
Develop and maintain the PostgreSQL database layer, including schema changes, SQLAlchemy ORM models, Alembic migrations, and data-integrity constraints.
Build and maintain data ingestion, validation, and ETL pipelines for clinical outcomes data and medical imaging metadata, including DICOM.
Contribute to internal FastAPI services and develop endpoints for imaging metadata, annotations, and access control.
Support Azure cloud infrastructure, including blob storage for imaging studies, containerized service deployments, and authentication and authorization workflows.
Migrate legacy research code into versioned, dependency-managed Python packages that follow established engineering standards.
Develop and maintain CI/CD pipelines, automated tests, and developer tools to improve code reliability and reproducibility.
Build tools that support machine learning workflows, including dataset extraction and export, experiment and artifact tracking, and data provenance.
Participate in code reviews and contribute to engineering standards, technical documentation, and collaborative development practices.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 3 years of professional software development experience using Python.
Solid knowledge of SQL and relational databases, preferably PostgreSQL, including schema design and query optimization.
Experience with software development lifecycle practices, including version control, testing, CI/CD, and collaborative development workflows.
Experience with data and ML infrastructure, such as data pipelines, feature stores, model deployment, containerization, or orchestration frameworks.
Experience with cloud-based machine learning pipelines, particularly Azure, and infrastructure-as-code tools.
Proficiency with Git, including branching, pull requests, and code reviews.
Experience writing tested, documented, production-quality code using Python type hints and modern packaging practices.
Strong communication skills and the ability to work effectively in a small, fast-moving team.
Preferred Qualifications
Experience with SQLAlchemy or other ORM tools and database migration solutions such as Alembic.
Experience building REST APIs with FastAPI or a similar Python web framework.
Experience with Azure services, including blob storage, container apps, and Entra ID, or another major cloud platform.
Familiarity with Docker and CI/CD systems such as GitHub Actions.
Experience with healthcare data, including DICOM, medical imaging pipelines, clinical registries, or EHR-derived datasets.
Understanding of HIPAA requirements and handling protected health information (PHI) in production systems.
Familiarity with machine learning engineering tools such as MLflow and model or data versioning.
Experience supporting machine learning teams, even without direct model development responsibilities.
Experience with Python dependency management tools such as uv or Poetry and publishing internal packages.
Experience improving the structure and maintainability of legacy codebases.
Familiarity with software quality practices for regulated medical software, including requirements traceability, validation, configuration management, and controlled releases.
Experience with orchestration or workflow systems for data and ML pipelines, particularly Databricks.
Salary & Benefits
The annual base salary range is $140,000–$175,000. The compensation package also includes equity and benefits, with compensation determined based on experience.
Location and Work Arrangement
The position is initially remote within the United States. The selected candidate must be able to transition to in-person work in New York City in approximately six months.
Why Join Surgeon Decision Intelligence?
Contribute to technology designed to advance clinical management of musculoskeletal health and disease.
Work with a multidisciplinary team of engineers and clinicians.
Develop expertise in medical imaging, data infrastructure, and applied machine learning.
Grow professionally in a startup environment focused on translating AI research into practical healthcare applications.
Equal Employment Opportunity
Surgeon Decision Intelligence provides equal employment opportunities to all employees and applicants. The company prohibits discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.
Additional Details
- City
- United States
- Country
- US
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