Machine Learning Engineer - Remote

Overview

The Machine Learning Engineer will collaborate with researchers, engineers, and clinicians to design and deploy scalable machine learning solutions, building shared ML infrastructure and optimizing models for production.

In Short

• Develop, deploy, and maintain state-of-the-art machine learning models for medical imaging, NLP, and multimodal tasks.
• Design and implement robust, scalable ML pipelines and shared infrastructure to support agile experimentation and deployment.
• Collaborate with researchers to translate novel algorithms into production-ready solutions.
• Build and maintain MLOps tools and practices, including automated testing, continuous integration, and monitoring of deployed models.
• Optimize model performance for speed, reliability, and scalability in production environments.
• Partner with clinicians, engineers, and product teams to align machine learning efforts with clinical and product needs.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field with 5+ years' experience in relevant roles.
• Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow.
• Strong understanding of MLOps practices, including model deployment, CI/CD pipelines, and performance monitoring.
• Experience working with cloud platforms (e.g., AWS, GCP, Azure) and tools like Docker and Terraform.
• Familiarity with healthcare data and clinical workflows is a plus.
• Exceptional problem-solving skills, ownership mindset, and a collaborative approach.
• Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a leading company in AI in medical imaging.
• Flexible working hours and fully remote position, some travel is required.
• Collaborative and innovative work environment.
• Health insurance and retirement plans programs.
• Professional development opportunities and support for continuous learning.