Top AI & Machine Learning Jobs

Teach an intensive course on cinematic AI, generative design, and emerging creative technologies to students in creative industries, focusing on practical applications and ethical considerations.

Design and build AI-powered product features, develop LLM-based systems, ensure quality, collaborate on product decisions, and optimize performance.

You'll lead the development of AI-driven systems for a dating platform, focusing on personalized matching algorithms and voice interactions. Responsibilities include designing ML pipelines, deploying models, and conducting experiments to improve user experience.

Design and improve ML training frameworks, modularize experiments, adapt fire-hazard detection algorithms for varied electrical environments, build scalable pipelines for high-frequency sensor data, and develop dashboards and tooling to monitor model performance and drift while collaborating across product, data science, and fire safety teams.

The Senior Data Scientist will analyze customer data, design experiments, build models, and support data-driven decision-making across product, marketing, and customer experience teams.

As a Research Engineer, you will develop evaluation frameworks for AI models and agents, ensuring reliable metrics for model performance and product readiness.

The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.

The AI Engineer will design and build production systems, focusing on LLM integration, system reliability, evaluation frameworks, and high-quality product features while maintaining strong engineering practices.

Responsible for building ML applications focused on risk and fraud, tackling data challenges, innovating in feature engineering, and establishing ML infrastructure.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.