Software Developer 2

Posting Description
SOFTWARE ENGINEER / MACHINE LEARNING ENGINEER MIT Jameel Clinic for Machine Learning in Health to participate in the full life cycle of application and research-software development for Jameel Clinic research programs and related MIT collaborations. Responsibilities include requirements analysis technical design coding testing documentation deployment support troubleshooting and production support for research workflows; developing and maintaining machine learning systems data pipelines model evaluation tools applications and reusable software components; supporting model training evaluation benchmarking validation analysis and deployment-related workflows; working with health biological chemical molecular materials and other scientific datasets; maintaining version-controlled repositories testing practices documentation and coding standards; collaborating with faculty researchers students technical staff and external collaborators; evaluating relevant software tools machine learning frameworks data platforms and engineering practices; and contributing technical material for reports proposals presentations publications and collaborator communications.

Job Requirements

REQUIRED: Bachelors degree in computer science engineering machine learning computational biology computational chemistry materials science data science or a related technical field; minimum five years of relevant programming software engineering machine learning engineering research engineering scientific computing or applied data science experience; strong Python programming skills and experience with modern software development practices; experience with machine learning frameworks such as PyTorch JAX TensorFlow or scikit-learn; experience developing technical design specifications program specifications prototypes test scenarios scripts unit tests and technical documentation; ability to work with structured and unstructured scientific datasets and translate technical requirements into maintainable code; strong analytical debugging documentation communication and collaboration skills; and ability to manage multiple technical tasks follow through on priorities and work both independently and as part of a team. PREFERRED: experience with molecular machine learning biological data chemical data clinical data materials data graph-based methods geometric deep learning representation learning generative models or multimodal learning; familiarity with scientific data formats APIs databases cloud computing high-performance computing Docker workflow management or MLOps practices; ability to read technical literature and translate research methods into working code; and experience contributing to collaborative research projects open-source software technical reports proposals or publications.

9/10/2026