Top Artificial Intelligence Machine Learning Engineer Jobs

As a ML Engineer at Wispr, you will design features for a voice interface, optimize ML inference, and scale personalization of speech models.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

As a Senior ML Software Engineer, you will lead the full-stack implementation, drive the integration of advanced features, and collaborate on AI technologies at Gemini impactfully.

The intern will develop machine learning systems for fraud detection, authentication, and media analysis, collaborating with researchers to innovate solutions in security and user experience.

Design, build, and deploy scalable ML systems in healthcare, mentor junior engineers, and collaborate with cross-functional teams to solve clinical challenges.

Develop and maintain a full-stack platform for computational chemists, focusing on drug discovery through machine learning and data infrastructure. Collaborate with interdisciplinary teams to enhance software tools for visualizing molecules and managing workflows.

The Head of Machine Learning will manage 9 ML engineers, coordinate projects, contribute to system architecture, and promote team growth. Responsibilities include strategic leadership, project management, and technical mentorship to align ML initiatives with business goals.

The Senior Manager for Machine Learning will lead the ML team, coordinate initiatives, and enhance product development in a collaborative environment.

The Machine Learning Scientist will build and integrate ML models, analyze data, design scalable pipelines, and ensure robust model testing.

The Machine Learning Engineer is responsible for designing, training, and optimizing ASR models for mobile devices, handling multilingual data, and collaborating on deployment with engineering teams.