Top Biotech Machine Learning Engineer Jobs

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

The role involves developing AI/ML models for bioprocesses, optimizing cell culture for recombinant protein production, and conducting experiments for model validation.

As a Machine Learning Engineer Intern, you'll develop neural decoders for Brain-Computer Interfaces and collaborate with cross-functional teams on new functionalities.

The Software Engineering Intern (AI/ML) will assist in research, development, and analysis of AI/ML solutions, contributing to software projects while learning from experienced team members.

The Senior Machine Learning Research Engineer will develop and deploy deep learning pipelines, optimize model training, and collaborate with scientists to enhance AI/ML capabilities for cancer detection.

Lead and grow an algorithm science team to develop and productize sensor-based health sensing algorithms. Set strategy, manage cross-functional delivery with hardware/firmware/product partners, maintain technical depth, and build scalable evaluation pipelines and processes.

Develop machine learning methods for 3D particle detection and structural analysis in cryo-electron tomography data, collaborating with interdisciplinary teams on scientific applications.

Lead the development of machine learning and bioinformatics for NGS products, collaborating cross-functionally to analyze complex datasets, and mentor junior members.

The Machine Learning Engineer will design scalable systems, deploy production ML models, and develop distributed data pipelines, collaborating across teams.

Lead the scientific direction and machine learning development for climate modeling. Manage model training, evaluation, and collaboration across teams to develop predictive systems based on hydrology and climate data.