Calico is a research and development company whose mission is to harness advanced technologies to increase our understanding of the biology that controls lifespan. We will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Executing on this mission will require an unprecedented level of interdisciplinary effort and a long-term focus for which funding is already in place.
Calico is seeking a Staff/Senior Staff Machine Learning Engineer to design, develop, and productionize machine learning algorithms and software tools to analyze biological imaging data sets. Such datasets span a variety of dimensionality (2D images, 3D images, time lapse images). You will be part of a cross-functional effort to build a world-class computing and data analysis platform to support research efforts at Calico. You will also develop novel, scalable methods to solve difficult questions that help further Calico’s mission.
The ideal candidate should be familiar with state-of-the-art machine learning techniques, including, for example, object detection and segmentation on images and videos, and representation learning on images and sequences. Candidates should have experience developing, extending, and debugging state of the art machine learning models, and have expertise in designing and building robust data infrastructure and tools. Candidates will be autonomous in learning and applying the latest methods from deep learning literature. Candidates must demonstrate a strong ability to communicate ideas and results through publications and presentations and be able to work cross-functionally to execute on complex projects.
Ph.D. in Computational Biology, Computer Science, or related technical field, plus 8+ years industry experience OR M.S. in Computational Biology, Computer Science, or related technical field, plus 10+ years industry experience
Experience in developing and applying state-of-the-art computational techniques and tools to problems of biological interest
Experience building visualization tools to debug deep learning models and data processing pipelines
Expert in TensorFlow, PyTorch, and/or JAX
Strong software engineering skills and substantial expertise in Python
Track record of outstanding communication and collaboration in a cross-functional environment
Strong analytical and quantitative skills
Nice to haves:
Prior experience analyzing biomedical imaging modalities, such as fluorescent and brightfield microscopy, histology, high-content imaging, MRI, micro-CT, ultrasound, and DEXA/X-ray
Prior experience with the organization and quality control of large heterogeneous imaging datasets
Domain expertise in computational biology, statistics, cell biology, physiology, microscopy or optics
Public recognition in the field, e.g. via scientific publications or success in computer vision competitions