• Design, develop, optimize, and maintain software systems for the entire foundation model development and deployment lifecycle (i.e., data pipeline, pre-training, fine-tuning, serving)
• Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference
• Collaborate closely with data engineers and research scientists to integrate models into production environments
• Implement and ensure best practices in software engineering, including code quality, testing, and documentation
• Build and optimize robust back-end systems, APIs, and databases to support complex workflows
• Ensure code quality, scalability, and performance through rigorous testing and code reviews

Qualifications:

• Bachelor’s, Master’s degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus
• Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton)
• Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed
• Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)
• Have direct ML Ops platform experience, such as kubeflow pipelines, argo workflows, apache airflow, or metaflow
• Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB)
• Expertise in distributed systems, cloud computing (AWS, GCP), and containerization tools (Docker, Kubernetes)

Preferred Qualifications:

• Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus
• Prior experience pre-training or serving large language models or large-scale foundation models
• Experience with deep learning workflows
• Knowledge of biological data types and challenges and experience with bioinformatics tools
• Familiarity with version control systems like Git and CI/CD pipelines
• Strong understanding of RESTful APIs, authentication, and deployment pipelines
• Familiarity with machine learning workflows and biological datasets

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.