• Design, maintain, automate, and optimize ML training pipelines and realtime model serving infrastructure • Improve ML observability, model evaluations, model monitoring, and debugging tools • Collaborate closely with ML scientists and engineering teams • Develop new ML solutions to extract information from studio artifacts • Stay updated with ML infrastructure advancements and new technologies

• Lead the development and integration of cutting-edge artificial intelligence and machine learning (AI/ML) solutions into our imaging platform for clinical trials. • Shape and execute an ambitious AI/ML strategy aligned with our R&D roadmap. • Define technical architecture, establish best practices, and champion AI/ML capabilities across the organization. • Manage talent, foster innovation, and cultivate a culture of technical excellence and collaboration. • Serve as a key thought partner to senior leadership, providing updates on AI/ML initiatives, progress, risks, and opportunities.

• Participate in agile development processes, including sprint planning and daily stand-ups • Collaborate with cross-functional teams (data scientists, software engineers, product managers, business leads) to define requirements and deliver high-quality ML solutions. • Develop and implement end-to-end AI/ML models and workflows within the Palantir Foundry and AIP environment • Leverage Palantir AIP features, such as Agent Studio, RAG (retrieval-augmented generation) workflows, and copilots, to ground models in relevant data sources and the Ontology. • Conduct research on open-source tools and ML techniques relevant to the medical domain • Design, implement, and optimize advanced machine learning algorithms to solve complex business problems. • Lead the development and deployment of scalable and efficient ML models in production environments. • Drive research and experimentation to explore new ML techniques, tools, and frameworks. • Build end-to-end data pipelines for collecting, processing, and analyzing large-scale datasets. • Mentor junior engineers and contribute to the development of team processes and best practices. • Stay up-to-date with the latest trends and advancements in machine learning and AI.

• Join as a founding member of the Flower Frontier Model Team • Build category-defining models that blend existing practices with decentralized learning methods • Help build a reliable, maintainable and scalable software stack • Produce world-leading open-sourced models integrated into new Flower Lab products • Design, implement and optimize core components across data curation, evals, pre-training, post-training • Diagnose and resolve GPU/kernel issues, memory/storage bottlenecks, and multi-node failures at scale • Collaborate on the debugging of training instabilities and related issues • Devise surrounding infrastructure, tooling, monitoring, and observability