Software Developer 2

MIT • Cambridge, MA

3d

About The Position

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.

Requirements

• Bachelor's 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.
• Ability to manage multiple technical tasks, follow through on priorities, and work both independently and as part of a team.

Nice To Haves

• 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.
• Experience contributing to collaborative research projects, open-source software, technical reports, proposals, or publications.

Responsibilities

• Participate in the full life cycle of application and research-software development for Jameel Clinic research programs and related MIT collaborations.
• Requirements analysis, technical design, coding, testing, documentation, deployment support, troubleshooting, and production support for research workflows.
• Develop and maintain machine learning systems, data pipelines, model evaluation tools, applications, and reusable software components.
• Support model training, evaluation, benchmarking, validation, analysis, and deployment-related workflows.
• Work with health, biological, chemical, molecular, materials, and other scientific datasets.
• Maintain version-controlled repositories, testing practices, documentation, and coding standards.
• Collaborate with faculty, researchers, students, technical staff, and external collaborators.
• Evaluate relevant software tools, machine learning frameworks, data platforms, and engineering practices.
• Contribute technical material for reports, proposals, presentations, publications, and collaborator communications.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior