Join a cutting-edge team driving innovation at the intersection of AI and healthcare! As a Staff AI/ML Engineer, you will design and deploy advanced machine learning models—especially in computer vision and predictive analytics—on Android-based IoT and embedded systems. You'll collaborate across engineering, data science, and product teams to bring scalable, secure, and compliant AI solutions to life. From optimizing performance on edge devices to implementing explainable AI for HIPAA and SOC 2 compliance, this position blends technical depth with real-world impact in regulated environments.
What You Will Do:
- Develop, train, evaluate, and deploy machine learning models focused on computer vision and predictive analytics.
- Optimize AI/ML model performance on specialized Android-based IoT devices and embedded systems.
- Collaborate cross-functionally with engineering, data science, compliance, and product teams to integrate AI models into production workflows.
- Evaluate new AI/ML technologies and industry trends to enhance business capabilities and product innovation.
- Implement and validate explainable and interpretable AI methodologies for healthcare regulatory compliance (SOC 2, HIPAA).
- Document technical designs, decisions, and model performance metrics to meet compliance and audit requirements.
- Participate in the design and continuous improvement of AI-driven solutions ensuring privacy, security, and scalability.
Minimum Qualifications (Required Qualifications):
- Bachelor's degree in Software Engineering/ Computer Science or related discipline & 4+ years of work experience.
- Strong proficiency in Python and popular ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with computer vision techniques and frameworks (e.g., YOLO, OpenCV).
- Familiarity with deploying ML models on edge devices or embedded hardware, especially Android-based platforms.
Preferred Qualifications (Strongly desired):
- 5+ years of experience developing and deploying AI/ML models in production environments.
- Experience within regulated industries (healthcare, medtech) and understanding of SOC 2 and HIPAA compliance.
- Knowledge of GCP or similar cloud platforms, including model deployment and management.
- Understanding of WebRTC and network flow for real-time data analytics.
- Familiarity with GitLab CI/CD workflows, Docker, Kubernetes, and data optimization in MongoDB or BigQuery.
- Experience with model explainability and compliance documentation for AI systems.
- Experience with integrated development environments (IDE) for projects.
- Experience with tools for static/dynamic analysis, memory management, code coverage and techniques for analyzing software Integration and deployment processes.
$100,500 - $215,300 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.
This role will be posted for a minimum of 3 days.