GenBio AI · 1 day ago
Research Engineer (LLMs and Generative Models)
Palo Alto, CA
Full-time
Onsite
Entry, Mid Level
$170K/yr - $260K/yr
2+ years expGenBio AI is a newly established start-up headquartered in Silicon Valley, focused on transforming biology and medicine through Generative AI. The Research Engineer will be responsible for building inference and finetuning infrastructure for LLMs and generative models, bridging the gap between research and production in the AIDO model ecosystem.
Artificial Intelligence (AI)BiotechnologyMedical
Responsibilities
Design and own AIDO’s internal model ecosystem, including scalable infrastructure for serving, finetuning, distillation, and inference across many model sizes and architectures
Develop reusable pipelines for on-demand model finetuning using internal and external datasets, ensuring reproducibility and cost-efficiency
Build APIs and inference tools that integrate deeply with downstream biology simulators
Productionize foundation model interfaces, including transformer-based LLMs and diffusion/auto-regressive architectures, with an emphasis on biological data modalities (DNA, RNA, protein, etc.)
Collaborate with research and product teams to enable virtual experiments powered by generative AI, including agentic workflows and user-facing tooling
Support distillation, quantization, and routing strategies to optimize model throughput and enable multi-model orchestration
Prioritize observability, reliability, and safety in generative workflows through better logging, traceability, and rollback mechanisms
Ensure scalability and automation throughout the model lifecycle: training, testing, deployment, and adaptation
Automate everything
Qualification
Required
M.S. or equivalent practical experience in MLOps, Computer Science, Engineering, or related field
2+ years of experience developing, deploying, and evaluating LLMs or generative models (transformers, diffusion models, VAEs, autoregressive architectures, etc.)
Proficiency with deep learning research and production stacks, such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed
Strong programming skills in Python, with experience developing model services and backend APIs (Flask, FastAPI, or similar)
Familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton) and profilers (PyTorch Profiler, Nsight Systems, TensorBoard)
Familiarity with resource coordination platforms (e.g., SLURM, Kubernetes), and managed solutions (Vertex AI, SageMaker, OCI Data Science)
Familiarity with ML automation frameworks (e.g. Kubeflow, Argo Workflows, Apache Airflow, Metaflow)
Expertise in cloud computing (GCP, OCI, AWS)
Strong software engineering practices: testing, version control, CI/CD pipelines
Ability to work in a fast-moving research environment, productionizing new models as they become available
Preferred
Ph.D. degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus
Experience with biological data modalities (e.g., DNA, RNA, protein sequences, cell imaging)
Prior work on multimodal or multiscale models across text, sequences, images, or structure
Background in model distillation, quantization, and memory/latency optimization
Knowledge of RESTful API design and data security
Strong written and verbal communication skills, especially across research, product, and engineering
Deep curiosity about biology and excitement to build tools that democratize access to scientific exploration
Company
GenBio AI
GenBio AI creates AI-driven models to simulate and predict biological systems at multiple scales.
11-50 employees
H1B Sponsorship
GenBio AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
Funding
Current Stage
Early StageRecent News
2025-11-14
Company data provided by crunchbase