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Job Summary:
Profluent is an AI-first protein design company focused on developing deep generative models to innovate biomedicine. They are seeking a Software Engineer, MLOps to support their ML infrastructure, build tooling for ML workloads, and standardize workflows, offering opportunities for growth within the ML stack.
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)
Qualifications:
Required:
• BS in Computer Science or a related field
• 2+ years of industry experience working with 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
Company:
Profluent is an AI-first protein design company. Founded in 2022, the company is headquartered in Berkeley, California, USA, with a team of 11-50 employees. The company is currently Early Stage.