Top AI & Machine Learning Jobs

As an AI Engineer, you will develop intelligent workflows, prototype AI features, fine-tune models, and integrate AI with the tech stack.

The Senior Machine Learning Operations Engineer will design, build, and maintain ML infrastructure, streamline model deployment, and monitor performance to ensure the success of machine learning models at The Athletic.

The intern will assist the data science team by working on projects related to Ardian's portfolio assets and company-wide initiatives, requiring autonomy with supervision.

The Agentic AI Outcomes Engineer will design and implement AI workflows for enterprise clients, focusing on autonomy and ROI while collaborating with various teams.

Design and deploy reliable ML models for drone navigation using deep learning. Collaborate across teams and mentor on ML adoption.

Drive disease modeling using statistical, epidemiological, and machine learning techniques. Collaborate with engineering and product teams on data-driven healthcare solutions.

Lead the development of autonomous robotic systems, pioneering dexterous manipulation and human-robot interaction using machine learning algorithms and frameworks.

Design and maintain scheduling systems for GPU/TPU clusters, optimizing resource allocation for large-scale ML training. Collaborate with researchers to ensure reliable infrastructure.

The AI Engineer will develop AI tools and workflows for Kanbrick and partner companies, enhancing productivity and enabling automation.

The Data Scientist will apply AI/ML techniques to optimize workflows in Computer Network Operations, analyze datasets, and develop data-driven solutions. Responsibilities include collaboration, documentation, and adapting to dynamic mission needs.