Iambic Therapeutics jobs

ML Software Engineer (Level I/II) at Iambic Therapeutics, a clinical-stage biotech AI company. Focus on building and deploying production ML workflows for drug discovery (fine-tuning, inference, evaluation), GPU-accelerated services, CI/CD, and collaboration with ML scientists. Requires 5–8+ years relevant experience, strong Python, PyTorch/Hugging Face, cloud deployment (AWS), and MLOps tooling. Hybrid Boston office role. Salary $129.6–190k. Role is specialized in ML infrastructure and operations, not general full-stack or backend application development.

Iambic Therapeutics, a clinical-stage biotech company using AI for drug discovery, is hiring a Cloud Ops Engineer to join their Software organization and work alongside ML teams to drive cloud infrastructure strategy and delivery. You'll lead the design and evolution of scalable AWS infrastructure, manage cloud networking and Infrastructure as Code (Terraform), implement CI/CD improvements, ensure ISO 27001 compliance, and mentor other engineers on cloud best practices. Required qualifications include 12+ years of related experience (or 10+ with a master's degree), strong expertise in AWS services (especially EKS and IAM), Infrastructure as Code tools (Docker, Terraform, Ansible), networking fundamentals and AWS networking architecture, and familiarity with ML deployment challenges. The role is fully remote but preferred in Boston with workspace support; Iambic offers competitive pay, healthcare, 401(k) matching, and uncapped vacation. A significant deal-breaker is the minimum 10-12 years of experience requirement—this is a senior-level position with unusually strict tenure minimums for the cloud engineering market.

Iambic Therapeutics, a clinical-stage AI-driven drug discovery company in San Diego, is hiring a Senior Software Backend Engineer for its Software Platform team to build and operate the compute infrastructure powering data processing and model inference across their discovery platform. You'll integrate and maintain workflow orchestration systems (Prefect, Modal, Coiled, Airflow), ensure production reliability through monitoring and troubleshooting, and collaborate with ML engineers to operationalize model outputs at scale. Required qualifications include 10+ years of relevant experience (or 8 years with a Master's degree), strong Python skills, hands-on experience with distributed/cloud systems in production, familiarity with containerization and Kubernetes, AWS expertise, and the ability to work with data-intensive scientific workflows. The role is on-site at their new San Diego headquarters and offers competitive compensation, healthcare, 401K matching, uncapped vacation, and onsite amenities. A key requirement is proven experience integrating and operating workflow orchestration frameworks in production environments—this isn't a junior or IC-only position.