AI Pathology ML Intern — Remote-Friendly 4–6 Months

Hidden Jobs; United States; Hybrid; USD 76,000 - 96,000; Full time

Benefits offered by this job

Paid holidays

Remote US-based candidates accepted

onsite 3 days per week

Job summary

Hidden Jobs is seeking an internship/co-op placed within applied machine learning teams focused on AI-powered pathology. You will work with scientists, engineers, and product managers to translate clinical needs into scalable ML solutions.

The role emphasizes collaboration across product and ML teams, with a direct line to the technical roadmap and patient impact. Prior coursework in CV/ML and strong Python skills are expected.

Qualifications

• Currently enrolled in an M.S. or Ph.D. program focusing on computer vision and ML
• Strong programming skills in Python and hands-on experience with ML frameworks (PyTorch or TensorFlow)
• Demonstrated understanding of ML and computer vision fundamentals
• Excellent communication and collaboration in cross-functional teams

Responsibilities

• Design, develop, and evaluate ML models for AI products and core ML services
• Work on subprojects drawn from the ML product roadmap and explore model improvements
• Collaborate with MLOps and platform teams to build and improve ML pipelines
• Participate in experimental design, analysis, and knowledge-sharing through reviews and journals

Skills

Python

Cross-functional collaboration

Communication

ML fundamentals

Education

MS or PhD in Computer Science / Electrical Engineering / Biomedical Engineering

Tools

PyTorch

TensorFlow

Job description

Hidden Jobs is seeking an internship/co-op placed within applied machine learning teams focused on AI-powered pathology. You will work with scientists, engineers, and product managers to translate clinical needs into scalable ML solutions.

The role emphasizes collaboration across product and ML teams, with a direct line to the technical roadmap and patient impact. Prior coursework in CV/ML and strong Python skills are expected.