Machine Learning Intern/Co-op

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

Role overview

This internship or co-op places candidates directly within applied machine learning teams working on AI-powered pathology, contributing to projects with a direct line to the technical roadmap and patient impact. The role is embedded within product and core ML teams, partnering with scientists, engineers, and product managers to translate clinical needs into scalable ML solutions.

Responsibilities

• Contribute to the design, development, and evaluation of machine learning models for AI products, AI services, and core ML models
• Work on subprojects drawn from the active ML product roadmap, exploring model improvements with novel techniques
• Partner with MLOps and platform teams to help build and improve ML pipelines
• Participate in experimental design, analysis, and team knowledge-sharing through design reviews, technical forums, and journal clubs

Requirements

• Currently enrolled in an M.S. or Ph.D. program in Computer Science, Electrical Engineering, or Biomedical Engineering with a focus on computer vision and machine learning
• Strong programming skills in Python and hands-on experience with ML frameworks such as PyTorch or TensorFlow
• Demonstrated understanding of the fundamentals of machine learning and/or computer vision
• Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment
• Passion for improving patient outcomes

Nice to have

• Prior experience working on complex open-source projects or AI-based products
• Participation in student organizations or other leadership activitiesContributions to AI or ML publications

Benefits and work setup

• Fall 2026 / Winter 2027 timeline with a 3-6 month commitment, 4-6 months preferred
• Primary locations in Boston, MA and New York, NY, with potential for remote US-based candidates; onsite 3 days per week highly preferred
• Expected hourly rate of $55-$70 based on Boston, MA, with actual pay determined by experience, qualifications, and location
• Paid holiday time off during the internship