Top AI & Machine Learning Jobs

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.

As a Product Engineer, you'll design and build AI/ML infrastructure, ensuring seamless delivery and operationalization of models while collaborating with cross-functional teams and engaging with customers.

This role involves designing, building, and deploying AI systems, especially focused on machine learning and large language models, to solve business problems with a structured evaluation strategy.

The Principal Applied ML Researcher leads the ML strategy for a platform, focusing on applied ML systems and agent workflows to ensure reliable execution in regulated environments. They drive innovations, oversee the development lifecycle, and lead the integration of LLMs into production systems while ensuring compliance and performance metrics are met.

The Sr AI Solutions Architect will guide clients in executing AI strategies, develop solution architectures, and collaborate across teams to ensure AI adoption and operational readiness.

Join Artian AI as an AI/ML Engineer to develop their innovative AI platform, focusing on enterprise process automation through agentic AI. Responsibilities include working with AI Workflow Agents, multi-agent systems, and various LLM technologies.

The Project Director will lead the AI Century Study, providing strategic and scientific direction, guiding research execution, fostering partnerships, and communicating findings effectively.

The Director of Protein Sciences will lead a team responsible for producing and characterizing antibodies and therapeutic proteins, ensuring high-quality data management and collaboration with external partners.

The AI Engineering Director will lead the development of AI applications, manage a team, and ensure operational excellence in innovative frameworks, engaging in technical details and influencing major technology decisions.

The Principal Applied Scientist will lead advanced analytics and ML models for finance, collaborating with various departments to drive financial insights and improvements.

The Principal Applied Scientist will lead the development of AI systems for healthcare, focusing on research, innovation, and real-world applications to improve outcomes and reduce costs.