GenBio.AI, Inc. (GenBio AI) is an innovative global startup dedicated to developing the world's first AI-driven Digital Organism, an integrated system of multiscale foundation models for predicting, simulating, and programming biology at all levels. Our goal is to achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases. This will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology. Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions such as CMU, MBZUAI, WIS, alongside prominent financial investors. GenBio AI, a true global effort from day one, is establishing offices in Palo Alto, Paris, and Abu Dhabi.
Research Engineer Intern
Location
California
Posted
31 days ago
Salary
Not specified
Job Description
Job Requirements
- 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.
- Nice to Have:
- 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.
- 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.
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