Machine Learning Engineer

Who we are 

At PrognomiQ, we aim to develop and commercialize transformative tests for early detection and treatment of cancer and other complex diseases. To accomplish this, we are leveraging leading proteomics technology, including the Proteograph product suite from Seer Bio, in combination with other multi-omics assays to develop unprecedented molecular views of health and disease. We are a team of experienced and accomplished scientists supported by a group of leading investors in healthcare and technology. 

Would you like to be at the leading edge of molecular data generation and analyses that changes how cancer and other complex diseases are detected and treated? Or are you looking to bring innovative and disruptive solutions to market? If you answer “yes” to either of these questions, let us know by applying! 

Description of role 

This is an on-site or hybrid work position with expectations of being on-site several times a week. 

Duties: 

• Develop machine learning pipelines for training and inference 

• Manage the full life cycle of machine learning models including inference, versioning, and serving  

• Design and implement cloud-native software solutions with an emphasis on service-oriented architectures and containerized workflows 

• Deploy and maintain machine-learning systems in production at scale using DevOps/MLOps frameworks  

• Build, scale, maintain, and operate continuous-integration/continuous-deployment systems based on AWS technology 

• Contribute reproducible, reusable, and robust code to the internal codebase 

Requirements: 

• B.S., M.S., or Ph.D. in Computer Science, Bioinformatics, Statistics, Applied Mathematics, Computational Biology, Physics, related technical field, or equivalent practical experience 

• Strong programming skills in languages like Python, C++, JavaScript, Java

Preferred: 

• Experience in software engineering, DevOps, and/or MLOps.  

• Experience with Linux-based applications 

• Experience with continuous integration and deployment systems and tooling 

• Experience with cloud computing and infrastructure including Amazon Web Services (AWS) 

• Experience with containerization and orchestration tools like Docker 

• Experience developing and maintaining codebases and software libraries following industry best practices 

• Experience with infrastructure-as-code tools such as AWS Cloud formation, Terraform, etc. 

Equal Opportunity Employment 

PrognomiQ is an equal opportunity employer that celebrates diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship.