Hybrid Computational Biology MLOps Engineer

Marlabs Inc.; San Diego (CA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Marlabs Inc. is seeking a Computational Biology MLOps Engineer to build and scale ML infrastructure for in silico protein design. You will bridge cutting edge AI research with production systems at the intersection of machine learning, computational biology, and HPC.

The role involves onsite work three days weekly in Indianapolis, IN or San Diego, CA and collaboration with scientists and platform engineers to accelerate research velocity.

Qualifications

• 5+ years of software/ML/DevOps experience with focus on production ML infrastructure.
• Strong CI/CD, orchestration, and distributed training fundamentals.
• Experience with scientific or multimodal data and protein language models is a plus.

Responsibilities

• Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment.
• Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training.
• Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts.
• Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches.
• Architect systems that scale across distributed environments and support multimodal datasets for large foundational models.
• Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems.

Skills

MLOps

Kubernetes

CI/CD

Python

PyTorch

TensorFlow

JAX

HPC

Data pipelines

Cloud platforms

GitHub Actions

SLURM

Docker

Container registries

PDB

mmCIF

Tools

GitHub Actions

SLURM

Docker

Container registries

Job description

Marlabs Inc. is seeking a Computational Biology MLOps Engineer to build and scale ML infrastructure for in silico protein design. You will bridge cutting edge AI research with production systems at the intersection of machine learning, computational biology, and HPC.

The role involves onsite work three days weekly in Indianapolis, IN or San Diego, CA and collaboration with scientists and platform engineers to accelerate research velocity.