Top Pharmaceutical Machine Learning Engineer Jobs

The Machine Learning Engineer II will enhance legal workflows at Chewy by identifying inefficiencies, designing AI solutions, automating processes, and ensuring successful adoption of new tools.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

Lead the development of scalable AI solutions for Novartis, integrating advanced machine learning models while collaborating with teams in the US and India.

Lead cross-functional teams to develop and implement machine learning solutions, ensuring quality and scalability while mentoring other engineers.

The role involves developing and implementing ML algorithms for surgical robotics, optimizing models for real-time performance, mentoring team members, and collaborating with software teams on robotic task automation.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.

The AI Staff Engineer will design data flows and AI solutions, lead technical engagements, and deliver production-ready systems while ensuring scalable and maintainable designs. They will also translate business needs into effective technical solutions and build relationships with stakeholders.

As an ML Research Engineer, you'll design experiments, implement model architectures, and engineer scalable libraries to advance molecular simulations to support drug discovery.

The role involves developing synthesis-aware virtual screening workflows for small-molecule drug discovery, integrating various modeling and design strategies.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.