Machine Learning Intern

The Machine Learning (ML) Intern will be part of our R&D team, building new ML capabilities for our cloud-based AI Engine. Reporting to the VP of Data and Machine Learning, you will participate in the work of our ML scientists and other software engineers to design and develop ML capabilities that control our bioprocess instruments and optimize the clone yield of our manufacturing platform. You will observe and be part of a multi-disciplinary product development lifecycle and will interact with the robotic automation, biology, and data operations teams. Responsibilities Work with ML scientists and engineers to develop and validate various DL models that process microscopic images and other types of instrumental/biological assay data. Work with software and bioprocess teams to curate and balance training and testing datasets as needed for model development Work with ML Engineers to develop any infrastructure software needed for training, testing and validation of our models. Requirements: Excellent software design and Python coding skills Experience developing image-based DL models using Pytorch and/or Tensorflow Familiarity with one of UNET, ViTs or any of RL frameworks Familiarity with cloud-based data storage, retrieval and processing pipelines as well as MLOps tools. GCP experience is a plus.

Cellino is building a precision platform that personalizes human cells for all. Stem cell-derived regenerative medicines are poised to cure some of the toughest diseases within this decade, including Parkinson's, diabetes, and heart disease. Patient-specific cells provide the safest, most effective cures for these indications. Currently, large-scale production of stem cell therapies is challenging due to extensive manual handling, high variability, and expensive manufacturing costs. Cellino's vision is to enable healthier lives worldwide with personalized human cells.