Deep Learning Researcher
First seen by Alion on Oct 20, 2026.
ABOUT THE POSITIONOur research team is in charge of creating cutting edge algorithms which detect and diagnose a wide variety of medical conditions from medical images. As a deep learning researcher, you will work alongside some of the best minds in the field and implement the latest deep learning and computer vision algorithms, in a multidisciplinary and dynamic environment.ROLES AND RESPONSIBILITY- Design and implement medical imaging AI systems using deep learning and computer vision to detect conditions from multimodal data- Drive end-to-end product development with clinical teams - from ideation through data collection, algorithm development, validation, and production deployment- Publish research findings and implement state-of-the-art algorithms, while contributing to the ML/healthcare community- Conduct rigorous model analysis, including UX evaluation and statistical validation for clinical efficacy- Lead long-term research initiatives in medical AI imaging while staying current with latest developments- Shape team practices and technical standards through peer collaboration and knowledge sharingDESIRED CHARACTERISTICS- Exceptional analytical skills in dissecting complex ML problems through rigorous mathematical frameworks and systematic problem-solving approaches- Meticulous approach to research methodology, maintaining comprehensive documentation of experiments, hypotheses, results, and model iterations for reproducibility and knowledge sharing- Proven ability to advance the field through high-impact publications and technical contributions, with strong scientific writing capabilities- Collaborative mindset balancing independent research leadership with cross-functional engagement, fostering innovation across teams
Qualifications
Advanced expertise in deep learning frameworks (PyTorch, TensorFlow) with focus on computer vision, neural architectures, and implementing novel algorithms
Advanced statistical knowledge and data analysis capabilities, including expertise in experimental design, hypothesis testing, and quantitative methods for ML model evaluation
Strong software engineering foundation for ML research, including data pipeline design, version control, experiment tracking, and reproducible development practices
MSc/PhD in Computer Science or related field with focus on computer vision
2+ years experience developing complex deep learning projects using Python ML frameworks
Benefits
• life & health insurance package.
• MacBook Pro, annual company retreat.