GenBio AI · 4 months ago
Deep Learning Engineer
Palo Alto, CA
Full-time
Onsite
Mid, Senior LevelGenBio AI is a newly established start-up headquartered in Silicon Valley, focused on transforming biology and medicine through Generative AI. They are seeking a Deep Learning Engineer to design, develop, and maintain software systems for foundation model development, collaborating with data engineers and research scientists to integrate models into production environments.
Artificial Intelligence (AI)BiotechnologyMedical
Responsibilities
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
Qualification
Required
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
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
Company
GenBio AI
GenBio AI creates AI-driven models to simulate and predict biological systems at multiple scales.
Founded in 2024
11-50 employees
H1B Sponsorship
GenBio AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
Funding
Current Stage
Early StageRecent News
2025-11-14
Company data provided by crunchbase