Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD in a quantitative or engineering discipline (Computer Science, Computational Biology, Bioinformatics, Engineering, among others); OR equivalent additional work experience delivering state-of-the-art AI/ML solutions.


• Highly experienced in AI/ML engineering with an established track record of successful delivery of state-of-the-art AI/ML solutions


• Experience with standard deep learning algorithms and model architectures


• Experience with current deep learning literature and math of machine learning


• Experience and knowledge of machine learning best practices, scalable training and deployment, model introspection, and evaluation


• Experience in PyTorch, Tensorflow, or other deep learning frameworks


• Highly experienced/accomplished in software engineering with advanced skills in python and/or C++


• Experience with DevOps stacks: version control, CI/CD, containerization, etc.


• Proven experience in mentoring, coaching, and leading colleagues

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• PhD in Machine Learning


• Peer reviewed publications in major AI conferences


• Experience in design, development and deployment of commercial AI/ML software.


• Track record of contributing to open source projects


• Mentality of commit early and often, metrics before models, and shipping high quality production code


• Knowledge in disease biology, molecular biology and biochemistry


• Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.), clinical data (e.g., electronic health records, clinical images)


• Previous line management experience is a plus but not required for applying this position