A Silicon Valley startup combining Generative AI with biology and medicine, pioneering pan-modal Large Biological Models (LBM) for healthcare transformation.

GenBio is a pioneering Silicon Valley startup at the intersection of Generative AI and biomedicine. As the first mover in pan-modal Large Biological Models (LBM), we're revolutionizing healthcare through advanced AI applications. Our team consists of leading innovators in AI and Biological Science, working from our headquarters in Silicon Valley and our Paris office.

As a Data Engineer, you'll be integral to our mission of transforming biology and medicine through AI. You'll work on cutting-edge systems for foundation model development, collaborating with top minds in the field. Your role involves building scalable solutions for large-scale model training and deployment, while ensuring robust backend systems and APIs support our complex workflows.

The position offers unique exposure to both advanced AI technologies and biological sciences. You'll work with modern tools including Python, JavaScript, and various deep learning frameworks, while contributing to groundbreaking developments in biomedicine. Our strong R&D team and leadership in LLM and generative AI provide an exceptional environment for professional growth.

This role is perfect for someone who wants to be at the forefront of AI's application in healthcare and biology. You'll have the opportunity to work with state-of-the-art technologies while contributing to potentially life-changing medical advancements. Our inclusive culture and commitment to diversity create an environment where innovation thrives and every team member can make a significant impact.

Data Engineer position at GenBio, working on AI-powered biological models and healthcare solutions in Silicon Valley.

Data Engineer

A Silicon Valley startup focused on transforming biology and medicine through Generative AI, pioneering pan-modal Large Biological Models (LBM).

GenBio is a pioneering Silicon Valley startup at the intersection of Generative AI and biological science, with a mission to transform biology and medicine. As a first mover in pan-modal Large Biological Models (LBM), we're leading groundbreaking advancements in biomedicine through our exceptional R&D team and leadership in LLM and generative AI.

As our CUDA Kernels Engineer, you'll be at the forefront of developing high-performance computing solutions crucial for our AI-driven biological research. You'll work with cutting-edge GPU/CPU architectures, optimize kernels for maximum efficiency, and collaborate with ML engineers to advance our platform's capabilities.

The ideal candidate brings deep expertise in GPU architecture, CUDA programming, and machine learning infrastructure, with either a PhD and 1-3 years of experience or an MS with 3-5 years of experience. You'll join a team of visionary scientists and engineers in our headquarters in Silicon Valley, with a chance to make a global impact through our presence in Paris.

This role offers an unique opportunity to work at the convergence of high-performance computing and biological science, contributing to potentially life-changing medical advancements. You'll be part of a diverse, inclusive team that's pushing the boundaries of what's possible in biomedicine through the power of AI.

If you're passionate about optimization, get satisfaction from performance improvements, and want to be part of redefining the future of biology and medicine, this role offers an exceptional opportunity to make a meaningful impact in a revolutionary field.

Senior CUDA Kernels Engineer position at GenBio, developing high-performance GPU/CPU kernels for AI-driven biological research and medicine transformation.

CUDA Kernels Engineer

Join a pioneering Silicon Valley startup that's revolutionizing biology and medicine through the power of Generative AI. As a Deep Learning Engineer at GenBio, you'll be at the forefront of developing and implementing cutting-edge Large Biological Models (LBM).

Our company brings together leading minds in AI and Biological Science, working to decode biology holistically and enable next-generation life-transforming solutions. With headquarters in Silicon Valley and a presence in Paris, we're positioned to make a global impact in the intersection of AI and healthcare.

In this role, you'll be responsible for designing and developing software systems for foundation model development, working with state-of-the-art technologies and frameworks. You'll collaborate with a talented team of data engineers and research scientists, building scalable solutions that push the boundaries of what's possible in biomedicine.

The ideal candidate brings strong technical expertise in deep learning frameworks, distributed systems, and modern software development practices. You'll have the opportunity to work with cutting-edge GPU-accelerated tools, cloud computing platforms, and containerization technologies. Experience in life sciences or healthcare is valued, as you'll be working on transformative solutions in these domains.

We offer a unique opportunity to be part of a team that's pioneering the future of biological science and medicine through AI. Our strong R&D focus and leadership in LLM and generative AI create an environment where innovation thrives. Join us in our mission to redefine the future of biology and medicine through the transformative power of Generative AI.

Deep Learning Engineer position focused on developing and deploying large-scale AI models for biological applications

Deep Learning Engineer

GenBio is a pioneering Silicon Valley startup at the intersection of Generative AI and biomedicine. With headquarters in Silicon Valley and a presence in Paris, we're revolutionizing healthcare through Large Biological Models (LBM). Our team of visionary scientists, engineers, and entrepreneurs is dedicated to decoding biology holistically and enabling next-generation life-transforming solutions.

As our ML Engineer for Large-scale AI Infrastructure, you'll be at the forefront of building and maintaining the computational backbone that powers our breakthrough research. You'll work with cutting-edge GPU clusters, implement distributed training systems, and optimize performance for our large-scale AI models. This role combines expertise in machine learning infrastructure with high-performance computing, requiring both technical depth and collaborative skills.

The ideal candidate will bring strong experience in GPU cluster management, distributed systems, and deep learning frameworks. You'll work alongside leading minds in AI and Biological Science, contributing to a mission that could fundamentally transform healthcare and biological research. This is an opportunity to join an exceptionally strong R&D team that's leading the charge in LLM and generative AI applications in biomedicine.

We offer a unique environment where innovation meets impact, and your work will directly contribute to advancing the future of biology and medicine through AI. Join us in our mission to pioneer new paradigms in healthcare, working with state-of-the-art technology and alongside world-class experts in both AI and biological sciences.

ML Engineer role focusing on large-scale AI infrastructure, GPU cluster management, and distributed training systems for breakthrough biomedical research.

GenBio Engineering Jobs

A Silicon Valley startup combining Generative AI with biology and medicine, pioneering pan-modal Large Biological Models (LBM) for healthcare transformation.