Sr. Software Engineer - ML Systems

This is a Fully Remote Job

1. About Our Client:

The organization operates in the healthcare industry, focusing on improving diagnosis, treatment, and tracking of heart disease. It addresses significant challenges in cardiovascular care by providing AI-driven precision diagnostic solutions that quantify and characterize atherosclerosis in coronary arteries. Supported by substantial funding rounds, the company is growing rapidly and collaborates remotely with teams across multiple locations while adhering to rigorous regulatory and quality standards in medical software.

2. About the Opportunity:

The Sr. Software Engineer - ML Systems role is responsible for designing, building, deploying, and optimizing production-ready machine learning services within a regulated healthcare environment. The position contributes by ensuring the reliability, performance, and compliance of AI/ML systems that support the organization''s mission to enhance heart disease diagnosis and prevention.

3. Responsibilities:

• Design, build, and deploy scalable AI/ML services balancing performance, security, and maintainability.
• Manage full lifecycle delivery of complex features from architecture to post-release monitoring.
• Define and enforce testing protocols ensuring production reliability and regulatory compliance.
• Implement CI/CD and MLOps practices for automated model building, testing, and deployment.
• Translate product requirements into detailed technical designs.
• Contribute to technical documentation required for regulatory submissions.
• Collaborate cross-functionally to reduce knowledge silos and ensure system continuity.

4. Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 7+ years of software engineering experience with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Experience with unit and integration testing for ML models including data validation and reproducibility.
• Familiarity with CI/CD and orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms (SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark).
• Strong collaboration skills to work with ML scientists, engineers, and regulatory teams.
• Ability to operate in ambiguous situations and clarify requirements across stakeholders.

5. Pay Range and Compensation Package:

• Base Salary: $153,000 - $179,000
• Total Target Compensation (TTC): $176,000 - $206,000
• This role is eligible for a 15% target annual bonus.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.