Staff Machine Learning Engineer
Senior technical leader responsible for designing, developing, and deploying production-grade AI systems for medical imaging products. Focuses on vision-language models, diffusion models, and multimodal learning, collaborating with data scientists, software engineers, and clinical experts to turn advanced AI methods into robust product capabilities.
Responsibilities
- Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
- Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration.
- Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management.
- Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints.
- Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
- Stay current with advancements in vision-language modeling, GenAI, and related AI technologies.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field.
- Significant hands-on experience building and deploying ML systems to production.
- Strong experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Solid understanding of deep learning, computer vision, and natural language processing techniques.
- Prior experience working with medical imaging data is highly preferred.
- Solid software engineering fundamentals, including testing, version control, CI/CD, and code reviews.
- Independent, self-learner, and results-oriented.
- Fluent English (speaking and writing).