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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Machine Learning and Computer Vision, with strong programming skills in Python and hands-on experience with ML frameworks like PyTorch and TensorFlow. Collaborates effectively in cross-functional teams to develop scalable ML solutions that address clinical needs.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProgrammingPyTorch FrameworkTensorFlow FrameworkComputer Vision Fundamentals
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningComputer VisionPythonML FrameworksModel EvaluationExperimental DesignData AnalysisModel Improvement TechniquesAI ProductsAI Services
Soft Skills
Excellent CommunicationCollaborationLeadershipDesire to Improve Patient Lives
Tools & Technologies
ML PipelinesTechnical ForumsJournal Clubs
Industry Keywords
Biomedical EngineeringComputer ScienceElectrical EngineeringOpen-Source ProjectsAI-Based Products
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Contribute to the design, development, and evaluation of machine learning models for AI products, AI services, and core ML models
- Work on subprojects from the ongoing ML product roadmap, including model improvements using novel techniques
- Partner with MLOps and platform teams to build and improve ML pipelines
- Participate in experimental design, analysis, design reviews, technical forums, and journal clubs
- Collaborate with scientists, engineers, and product managers to translate clinical needs into scalable ML solutions
- Work on active projects impacting PathAI’s technical roadmap and business goals
Requirements
What you’ll need- 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
- Hands-on experience with ML frameworks such as PyTorch or TensorFlow
- Understanding of machine learning and/or computer vision fundamentals
- Excellent communication skills
- Desire to work in a highly collaborative, cross-functional environment
- Passion to improve patient lives
- Previous experience with complex open-source projects and AI-based products preferred
- Participation in student organizations and/or leadership activities preferred
- Contributions to AI/ML publications preferred
- Commitment to a 3–6 month internship/co-op; 4–6 months preferred
Benefits
Comp & perks- Paid holiday time off
