GenBio AI · 11 hours ago
Research Engineer Intern
Palo Alto, CA
Internship
Hybrid
Intern
1+ years expGenBio AI is a newly established start-up headquartered in Silicon Valley, focused on transforming biology and medicine through generative AI. The role involves conducting cutting-edge research in AI and computational biology, improving existing models, and collaborating on large-scale experiments to enhance AI capabilities in biology.
Artificial Intelligence (AI)BiotechnologyMedical
Responsibilities
You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology
You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems
Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact
Qualification
Required
Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States)
A strong coder with excellent skills in C/C++ and Python
Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc
Have a solid understanding of GPU, CPU, or other AI accelerator architectures
Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters)
Have experience improving ML accuracy using low-precision formats
Have 1+ years of relevant industry experience
Derive a great deal of satisfaction from every percentage point of performance improvement
Have experience writing and optimizing compute kernels using CUDA or similar languages
Preferred
Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems
Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis
Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI's model development and deployment frameworks
Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN)
Knowledge of performance profiling and optimization tools for HPC and deep learning
Company
GenBio AI
GenBio AI creates AI-driven models to simulate and predict biological systems at multiple scales.
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