Senior ML Engineer — Healthcare AI & Vision Systems (Equity)

VideaHealth; Boston (MA); On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

Flexible PTO

Equity and benefits

Collaborative work culture

Job summary

A healthcare technology company is seeking a Senior Machine Learning Engineer to build impactful AI-driven medical devices. This role involves designing and implementing reliable deep learning infrastructures and collaborating with clinical experts to enhance patient care. Candidates should have a strong background in deep learning and software development, with at least 4 years of experience. This full-time position offers opportunities for growth, competitive pay, and a collaborative work culture.

Qualifications

• Minimum of 4 years of hands-on development building deep learning models.
• Strong software development skills including testing (Python) and leading development in a shared codebase.
• Experience working with medical images or related computer vision problems.

Responsibilities

• Own the design and implementation of infrastructure for deep learning and analytics pipelines.
• Research, prototype, and deploy production-grade computer vision models.
• Write traceable, testable, and reproducible code for FDA/CE-cleared ML workflows.

Skills

Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras)

Software development in Python

Communication and collaboration

Education

M.S. or Ph.D. in Computer Science or related field

Tools

Cloud platforms (e.g., AWS)

GitHub

Job description

A healthcare technology company is seeking a Senior Machine Learning Engineer to build impactful AI-driven medical devices. This role involves designing and implementing reliable deep learning infrastructures and collaborating with clinical experts to enhance patient care. Candidates should have a strong background in deep learning and software development, with at least 4 years of experience. This full-time position offers opportunities for growth, competitive pay, and a collaborative work culture.