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GenBio AI is hiring : UI / UX Designer in Palo Alto

GenBio AI is hiring : UI / UX Designer in Palo Alto

MediabistroPalo Alto, CA, United States
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This range is provided by GenBio AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $100,000.00 / yr - $270,000.00 / yr

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.

Seniority level Seniority level Not Applicable

Employment type Employment type Full-time

Job function Job function Engineering and Information Technology

Industries Software Development

Referrals increase your chances of interviewing at GenBio AI by 2x

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