Top AI & Machine Learning Jobs

As a Staff ML Research Engineer, you will develop and optimize ML algorithms for drug discovery, transitioning high-impact prototypes into robust products and managing software development across the lifecycle.

This role focuses on advanced analytics by leveraging Dataiku and Azure ML, guiding data scientists, and driving machine learning use cases.

Design, develop, and deploy machine learning models and AI features. Build and optimize ML pipelines for various use cases.

The Applied Scientist will develop and enhance machine learning models, design A/B tests, evaluate performance, and collaborate with stakeholders to enhance decision-making and operational workflows in healthcare.

The Senior Data Scientist will develop scalable ML models, analyze large datasets for insights, and collaborate with teams to enhance business performance through data-driven solutions.

The Machine Learning Engineer will develop and deploy AI systems for robotics, focusing on advanced manipulation techniques and control algorithms, collaborating across teams.

The Senior Director will lead a team in data science, focusing on analytics and visualization for drug development, ensuring compliance and strategic execution. Responsibilities include statistical modeling, collaboration with various scientific teams, and developing predictive models.

As an AI Engineer, you will develop data pipelines and agentic AI systems, work on AI Accelerator projects, and ensure data integrity through testing and collaboration.

As a Senior Data Scientist, you will lead AI product hypotheses and experimentation, working with cross-functional teams to develop and evaluate AI solutions across various company functions. Responsibilities include designing datasets, building analytical features, and measuring product impacts using AWS tools and industry-best practices.

The role involves owning DRAGEN product areas, defining roadmaps, collaborating with engineering and marketing teams, managing business activities, and engaging with customers for product feedback.

The Principal Applied Scientist leads AI strategy, conducts high-impact research in ML, and mentors a team while developing scalable AI solutions.

The AI Inference Engineer will port, optimize, and benchmark AI models for Quadric's platform while providing support and documentation.