Profluent · 2 months ago
Software Engineer, ML Infrastructure
Profluent is an AI-first protein design company focused on revolutionizing biomedicine through deep generative models. The Software Engineer, ML Infrastructure will support the machine learning team by building and managing cloud infrastructure, developing tooling for ML workloads, and optimizing workflows to enhance productivity and security.
Artificial Intelligence (AI)BiotechnologyLife Science
Responsibilities
Build and manage cloud infrastructure (e.g K8s, Terraform)
Develop tooling around ML workloads (e.g Skypilot, Kubeflow, Loki, Grafana)
Support our Progen3 model API offering
Standardize common data and ML workflows into robust pipelines (e.g Airflow, Kubeflow Pipelines)
Optimize workloads and reduce costs for compute and storage
Ensure security best practices are followed (e.g least privilege principle, token management)
Enhance our CI/CD pipelines to catch regressions (e.g Github Actions)
Qualification
Required
BS in Computer Science or a related field
2+ years of industry experience managing cloud infrastructure (GCP, AWS, Neo-Clouds, …)
Familiarity with K8s, Terraform, and Docker
Worked with production backend systems (database, services, etc)
Preferred
Experienced with the challenges of working with large scale ML models
Experience with transitioning research ideas into production
Familiarity with ML frameworks such as PyTorch, MLFlow
Interested in the intersection between biology and AI
Benefits
Health insurance (health/dental/vision)
Generous paid time off (PTO) policy
Commitment to physical and mental well-being
More benefits and perks to be added!
Company
Profluent
Profluent is an AI-first protein design company.
Funding
Current Stage
Growth StageTotal Funding
$150MKey Investors
Spark CapitalInsight Partners
2025-11-19Series B· $106M
2024-03-21Series Unknown· $35M
2022-08-25Seed· $9M
Recent News
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2025-11-24
2025-11-20
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