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Verified Job On Employer Career Site 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.

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