GenBio AI
Research Engineer (LLMs and Generative Models)
GenBio AI, Palo Alto, California, United States, 94306
Research Engineer (LLMs and Generative Models)
Research Engineer (LLMs and Generative Models)
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.
GenBio AI is building the AI-Driven Digital Organism (AIDO) and the AIDO Virtual Lab, a platform where researchers can design, perturb, and observe biological systems entirely in silico using biological foundation models. We are looking for a Research Engineer specializing in LLMs and generative models to help us prototype, train, and productionize the AI components that power AIDO and the AIDO Virtual Lab. You’ll work at the intersection of biology, machine learning, and user-facing tools, building core capabilities for autonomous agents, multimodal simulation, and model finetuning.
Key Responsibility
Build, refine, productionize, and serve generative models and workflows for biological simulation and experiment orchestration Work at the intersection of science, product, and engineering to identify problems, implement solutions, and measure their impact on AIDO Develop APIs and pipelines for model serving, distillation, and tool integration with AIDO’s foundation models Design, implement, and evaluate LLM-based agents to collaborate with users and other agents to plan virtual experiments, run studies, and synthesize knowledge Support on-demand finetuning and model adaptation of foundation models with specialized datasets Work at the intersection of science, product, and engineering to prototype end-to-end research workflows and the tools to support them Contribute to system robustness by improving uncertainty quantification, observability, and traceability in generative workflows Maintain close attention to efficiency and scalability of models to ensure simulations are cheap, fast, and reproducible Automate everything
Qualifications
Ph.D. or equivalent practical experience in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus 2+ years of experience developing, deploying, and evaluating LLMs or generative models (transformers, diffusion models, VAEs, autoregressive architectures, etc.) Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed Strong programming skills in Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton) Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes) and associated automation frameworks (e.g. Kubeflow, Argo Workflows, Apache Airflow, Metaflow) Ability to work in a fast-moving research environment, balancing rigor with rapid prototyping Proficiency in back-end frameworks like Django, Flask, or Node.js, and database technologies (e.g., PostgreSQL, MongoDB) Expertise in cloud computing (GCP, AWS) Familiarity with version control systems like Git and CI/CD pipelines.
Preferred Qualifications
Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus Exposure to distributed training, model distillation, and serving infrastructure. Experience with multimodal or multiscale modeling (text, sequence, structure, image) Familiarity with biological data modalities (DNA, RNA, protein, cell imaging), associated bioinformatics tools, and their unique challenges Hands-on experience with agentic systems (LangChain, AutoGPT, custom planner-executor loops) Strong understanding of RESTful APIs, authentication, and deployment pipelines Strong communication skills, with the ability to collaborate across research, engineering, and product teams Interest in building tools that democratize access to biology and empower both expert researchers and newcomers
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 Get notified about new Research Engineer jobs in
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Research Engineer (LLMs and Generative Models)
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.
GenBio AI is building the AI-Driven Digital Organism (AIDO) and the AIDO Virtual Lab, a platform where researchers can design, perturb, and observe biological systems entirely in silico using biological foundation models. We are looking for a Research Engineer specializing in LLMs and generative models to help us prototype, train, and productionize the AI components that power AIDO and the AIDO Virtual Lab. You’ll work at the intersection of biology, machine learning, and user-facing tools, building core capabilities for autonomous agents, multimodal simulation, and model finetuning.
Key Responsibility
Build, refine, productionize, and serve generative models and workflows for biological simulation and experiment orchestration Work at the intersection of science, product, and engineering to identify problems, implement solutions, and measure their impact on AIDO Develop APIs and pipelines for model serving, distillation, and tool integration with AIDO’s foundation models Design, implement, and evaluate LLM-based agents to collaborate with users and other agents to plan virtual experiments, run studies, and synthesize knowledge Support on-demand finetuning and model adaptation of foundation models with specialized datasets Work at the intersection of science, product, and engineering to prototype end-to-end research workflows and the tools to support them Contribute to system robustness by improving uncertainty quantification, observability, and traceability in generative workflows Maintain close attention to efficiency and scalability of models to ensure simulations are cheap, fast, and reproducible Automate everything
Qualifications
Ph.D. or equivalent practical experience in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus 2+ years of experience developing, deploying, and evaluating LLMs or generative models (transformers, diffusion models, VAEs, autoregressive architectures, etc.) Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed Strong programming skills in Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton) Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes) and associated automation frameworks (e.g. Kubeflow, Argo Workflows, Apache Airflow, Metaflow) Ability to work in a fast-moving research environment, balancing rigor with rapid prototyping Proficiency in back-end frameworks like Django, Flask, or Node.js, and database technologies (e.g., PostgreSQL, MongoDB) Expertise in cloud computing (GCP, AWS) Familiarity with version control systems like Git and CI/CD pipelines.
Preferred Qualifications
Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus Exposure to distributed training, model distillation, and serving infrastructure. Experience with multimodal or multiscale modeling (text, sequence, structure, image) Familiarity with biological data modalities (DNA, RNA, protein, cell imaging), associated bioinformatics tools, and their unique challenges Hands-on experience with agentic systems (LangChain, AutoGPT, custom planner-executor loops) Strong understanding of RESTful APIs, authentication, and deployment pipelines Strong communication skills, with the ability to collaborate across research, engineering, and product teams Interest in building tools that democratize access to biology and empower both expert researchers and newcomers
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 Get notified about new Research Engineer jobs in
Palo Alto, CA . Fremont, CA $147,372.00-$196,497.00 1 week ago R&D Engineer, Detector Design, Model, and Analysis
Mountain View, CA $166,000.00-$244,000.00 1 week ago Research Scientist, World Models for Autonomous Vehicles
Research Scientist/Engineer, Mobile Manipulation - Behaviors
Mountain View, CA $120.00-$200.00 1 week ago Research Scientist, Latent State Inference for World Models
San Jose, CA $190,000.00-$320,000.00 4 days ago Milpitas, CA $110,000.00-$125,000.00 22 hours ago Campbell, CA $86,000.00-$96,000.00 1 day ago Menlo Park, CA $131,000.00-$155,000.00 2 weeks ago OBA Research Scientist/Engineer – Fusion Energy Systems
Fremont, CA $200,000.00-$350,000.00 1 week ago Mechanical Engineer (New Grad / Entry Level)
Mountain View, CA $158,000.00-$304,000.00 1 week ago San Jose, CA $142,700.00-$257,600.00 4 days ago Mountain View, CA $141,000.00-$202,000.00 4 days ago Research Scientist, World Models – Policy Training and Evaluation
Mountain View, CA $170,000.00-$240,000.00 4 days ago Machine Learning Engineer, Perception and Sensor Simulation
Mountain View, CA $170,000.00-$216,000.00 2 weeks ago Sunnyvale, CA $108,100.00-$182,900.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr