The Role
Design and develop user interfaces and software for foundation models, collaborating with product teams and ensuring code quality for scalability and performance.
Summary Generated by Built In
Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Key Responsibilities
- Design, develop, optimize, and maintain user interfaces and software systems that will enable users to fully utilize the suite of foundation models developed by GenBio AI
- Work with the product team to plan and deploy our foundation model product and associated data and training modules
- Advise the product team on all aspect related to the implementation of front end user friendly applications aimed at non technical experts
- 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 identify needs and determine new requirements
- With the product team engage in close collaboration and discussion with our biological scientists users to determine features and enhancement needs to make the product successful
- 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.
- Experience in designing and executing user facing products for non technical experts
- Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
- Knowledge of the 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).
- Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB).
Preferred Qualifications
- Prior experience in an AI company working on front end issues
- 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
- Good knowledge of the FAIR data principles
- 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.
Top Skills
Accelerate
Cuda
Cudnn
Deepspeed
Django
Flask
Huggingface Transformers
JavaScript
Kubernetes
Megatron-Lm
MongoDB
Node.js
Postgres
Python
PyTorch
Slurm
Triton
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The Company
What We Do
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.
