Computational Biology MLOps Engineer — Onsite (Indy/SD)

Marlabs Inc.; Indianapolis (IN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Marlabs Inc. seeks a Computational Biology MLOps Engineer to build and scale ML infrastructure for in silico protein design, bridging AI research and production systems.

This role requires onsite work three days weekly in Indianapolis, IN or San Diego, CA. You will collaborate with computational scientists and platform engineers to accelerate research velocity while applying CI/CD, Kubernetes, and HPC best practices.

Qualifications

• 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles.
• 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure.
• Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows.
• Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries.
• Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX and experience with ETL/data pipelines.

Responsibilities

• Build and maintain ML infrastructure, including CI/CD pipelines for model training, evaluation, and deployment.
• Orchestrate compute across Kubernetes clusters and SLURM/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

CI/CD

Python

Kubernetes

Distributed training

PyTorch

TensorFlow

JAX

AWS

GCP

Azure

Tools

GitHub Actions

Kubernetes

SLURM

Job description

Marlabs Inc. seeks a Computational Biology MLOps Engineer to build and scale ML infrastructure for in silico protein design, bridging AI research and production systems.

This role requires onsite work three days weekly in Indianapolis, IN or San Diego, CA. You will collaborate with computational scientists and platform engineers to accelerate research velocity while applying CI/CD, Kubernetes, and HPC best practices.