Cleerly · 1 day ago
Staff Software Engineer, Machine Learning
Cleerly is a healthcare company revolutionizing heart disease diagnosis and treatment. They are seeking a Staff Machine Learning Engineer to architect and scale machine learning platforms that enhance AI-driven diagnostic solutions, ensuring compliance and operational readiness.
AppsArtificial Intelligence (AI)Health CareMedicalWellness
Responsibilities
Architect and develop scalable AI/ML platforms and end-to-end pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, monitoring, drift detection, and automated retraining, while ensuring reproducibility, compliance with FDA/HIPAA, and alignment with organizational and regulatory goals
Optimize and operationalize production ML systems, including monitoring, drift detection, automated retraining, and workflow execution, to achieve high performance, reliability, scalability, and regulatory adherence
Evolve the ML stack through integration and refinement of frameworks, libraries, and infrastructure, improving system efficiency, maintainability, and the ability to support clinical ML workflows
Ensure operational readiness of ML pipelines and platforms, verifying data quality, throughput, reproducibility, and compliance across production workflows
Drive improvements in processes, tooling, and collaboration to streamline the transition of ML models from research to production, enhancing efficiency, reproducibility, and compliance across the platform
Qualification
Required
12+ years of experience (Bachelor's; 8+ with Master's; 5+ with PhD) designing, implementing, and optimizing AI and ML systems, ideally in regulated healthcare or clinical domains
Deep technical expertise in ML pipelines, distributed model serving architectures, and production ML lifecycle management, with a track record of solving high-impact system challenges
Proficiency in Python, Java, or similar, with extensive programming experience establishing reproducible ML workflows, coding standards, and software engineering best practices for AI/ML applications
Proficiency with ML infrastructure and orchestration tools (Kubernetes, Helm, Airflow) and data platforms (Snowflake, PostgreSQL, Airbyte), and building scalable pipelines that support ML data processing and model workflows
Advanced experience with AWS (including SageMaker and S3), ML infrastructure frameworks such as MLflow and Terraform, and exposure to platforms like Databricks, with a proven track record of implementing end-to-end ML systems and optimizing platform performance, scalability, and operational efficiency
Proven ability to influence technical approaches and operational practices in AI/ML workflows, elevating system efficiency, reproducibility, and reliability
Preferred
Strong expertise in regulatory and compliance requirements for AI/ML (FDA, HIPAA), able to design systems that are inherently compliant, reproducible, and auditable
Benefits
15% target annual bonus
Stock options
Paid benefits
Employee perks
Company
Cleerly
Cleerly is a digital healthcare company that offers heart disease diagnosis solutions.
H1B Sponsorship
Cleerly has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (1)
2022 (1)
2021 (3)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$386.48MKey Investors
Insight PartnersVensana Capital
2024-12-03Series C· $106M
2022-07-25Series C· $223M
2021-06-21Series B· $43M
Leadership Team
Recent News
2026-01-07
2025-11-27
Company data provided by crunchbase