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

Join a pioneering Silicon Valley startup that's revolutionizing biology and medicine through Generative AI. As the Lead Data Engineer, you'll be at the forefront of developing Large Biological Models (LBM), working with a team of visionary scientists and engineers. The company, with headquarters in Silicon Valley and a branch in Paris, is dedicated to decoding biology holistically using AI.

You'll lead the strategic design of data solutions, ensuring scalability and efficiency in foundation model training. The role requires expertise in both technical aspects (Python, JavaScript, cloud computing) and domain knowledge in life sciences. You'll work with diverse biomedical data types and implement FAIR principles in data management.

The position offers the opportunity to work with cutting-edge technologies in AI and biology, including GPU-accelerated tools and major deep learning frameworks. You'll collaborate with research scientists and engineers, contributing to groundbreaking advancements in healthcare through AI applications.

The ideal candidate combines strong technical skills with an understanding of biological or biomedical applications. This role is perfect for someone passionate about transforming healthcare through technology, offering the chance to work with state-of-the-art AI models and biological data at scale.

Lead Data Engineer position at GenBio, focusing on developing Large Biological Models using AI to transform healthcare and medicine.

Lead Data Engineer

A biotech company working to redefine the future of biology and medicine through innovative platform development.

Join GenBio as a Senior DevOps Engineer in a dynamic and innovative environment where you'll lead a crucial technical team across multiple offices. This role combines technical leadership with hands-on development, focusing on building and maintaining robust cloud infrastructure and developer platforms. You'll work at the intersection of DevOps, MLOps, and biotechnology, collaborating with engineers, scientists, and ML researchers to enhance organizational productivity.

As an early member of the team, you'll have the unique opportunity to shape the technical foundation of the company. Your responsibilities span from team leadership and technical strategy development to implementing cloud infrastructure and establishing development standards. The ideal candidate brings deep expertise in cloud platforms (especially GCP), containerization, Infrastructure as Code, and modern DevOps practices.

The role offers the exciting challenge of building scalable systems that support both traditional software development and machine learning operations in a biotech context. You'll work with cutting-edge technologies including Kubernetes, Terraform, and various MLOps tools while contributing to groundbreaking work in biology and medicine.

This position is perfect for a senior engineer who combines technical excellence with leadership abilities and wants to make a significant impact in a growing biotech company. The role provides the opportunity to work with diverse teams, influence architectural decisions, and build systems that will shape the future of biological research and development.

GenBio offers an inclusive environment committed to diversity, providing an opportunity to work on meaningful problems at the intersection of technology and life sciences. If you're passionate about building robust infrastructure, leading teams, and contributing to scientific advancement, this role offers the perfect blend of technical challenge and purposeful work.

Lead DevOps engineering role focusing on cloud infrastructure, team leadership, and platform development in a biotech environment.

Senior DevOps Engineer

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

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