[Hiring] Senior Software Engineer - ML Systems @Cleerly

Role Description

We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.
• Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.
• Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards.
• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
• Translate product requirements into well-defined technical designs proactively shaping implementation details.
• Contribute to the necessary technical documentation required for regulatory submissions.
• Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.

Qualifications

• 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, integration testing for ML models, including data validation, correctness checks, and reproducibility.
• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms (SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
• Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Requirements

• This role is eligible for a 15% target annual bonus.
• Base Salary: $153,000 - $179,000.
• Total Target Compensation (TTC): $176,000 - $206,000.
• *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Benefits

• Working at Cleerly takes HEART. Discover our Core Values:
• H: Humility - be a servant leader
• E: Excellence - deliver world-changing results
• A: Accountability - do what you say; expect the same from others
• R: Remarkable - inspire & innovate with impact
• T: Teamwork - together we win
• Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences.