axiombio - Platform Engineer

• Lead Axiom’s evolution into a world-class engineering company focused on enterprise ML software • Design and build the core infrastructure that powers Axiom’s enterprise ML systems, including model evaluation/deployment, model inference/serving, and customer data management • Architect scalable systems for inference, storage, and retrieval of chemical, biological, and clinical data • Deploy large-scale reasoning agents from research environments into production, integrating them into on-prem customer-facing products and infrastructure • Teach and empower scientists across ML, chemistry, and biology to become great engineers by instilling a great engineering culture • Various expertise which gets us interested: • Built SaaS products that store and process large volumes of customer data. • Worked directly with large enterprise customers and supported their complex software needs • Designed and developed large-scale machine learning systems covering data access, training, evaluation, and deployment • Handled the “messy” parts of ML deployment, such as evaluation pipelines, versioning, and monitoring • Built LLM-powered data systems, with a focus on research workflows and information retrieval • Strong generalist software engineer with experience across cloud infrastructure,machine learning, backend systems, distributed systems • Enjoys working with enterprise customers and simplifying complex technical solutions to meet their needs • Built and deployed production systems used by large enterprise businesses • Invested in team growth particularly when it comes to building strong engineering culture across the company • Passionate about collaborating with researchers and scientists, helping them become strong engineers • Takes full ownership of the customer experience—deeply focused on reliability and all the ways things can go wrong • Demonstrates relentless