Top AI & Machine Learning Jobs

You'll develop intelligence layers for healthcare coordination, handle AI operations, build pipelines for patient data, and improve AI capabilities.

The Forward Deployed Engineer works with clients to design and implement AI solutions, integrating ML models and advising on best practices.

As a Quantitative Researcher, you will develop and implement quantitative trading signals and models, using statistical methodologies to evaluate research systems components.

As a Fullstack AI Engineer, you'll prototype frameworks and scale real-time engines, focusing on product feel without handed specs.

This is an Expression of Interest role where candidates can express their skills for future opportunities in brain-computer interface and AI-related projects.

As a Senior AI Engineer, you will architect and build AI engines for seamless interactions, define metrics for performance, fine-tune models, and collaborate on product vision.

As a Senior ML Engineer, you'll design, develop, and deploy ML models for product features, collaborate with teams, and drive research initiatives.

As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.

The Data Scientist will analyze large datasets using advanced statistical methods and programming to provide insights for strategic organizational decisions. Responsibilities include developing machine learning models, conducting experiments, and collaborating with Data Engineers.

Lead development and deployment of credit, account-management, and fraud ML models using embeddings, transformers, and classical approaches. Own data pipelines, feature engineering from structured and unstructured sources, production monitoring, and cross-team integration while shaping technical strategy and mentoring Juniors.