Top Machine Learning Jobs in Atlanta, GA

The Head of Machine Learning and AI will lead Gusto's ML/AI team, overseeing the end-to-end lifecycle of projects. Key responsibilities include defining and executing strategies for applied ML/AI, collaborating with cross-functional teams, advocating for responsible AI, and tracking KPIs to measure impact. The role involves mentoring teams, managing resources, and aligning ML/AI initiatives with business goals.

As a PhD Machine Learning intern at Dropbox, you'll collaborate with engineers and researchers to explore innovative AI applications. You'll prototype cutting-edge ideas, tackle real-world challenges, and design experiments to advance Dropbox's AI initiatives, all while receiving mentorship and being part of a dynamic team.

The Sr. Taxonomy Specialist at CrowdStrike is responsible for leading and coordinating taxonomy projects across the organization, advocating for shared taxonomies, and establishing governance and best practices for taxonomy standards. This role involves collaboration with product managers, designers, engineers, and stakeholders to drive alignment and adoption of taxonomy initiatives, while ensuring they meet customer needs.

The Senior Data Science Strategist will drive the requirements for cybersecurity assessments, develop and execute a roadmap, prioritize threat research models, and collaborate closely with stakeholders to evaluate and enhance the company's cybersecurity posture.

The Senior Machine Learning Engineer will develop and maintain machine learning models, optimizing pipelines, and monitoring model performance. They will collaborate with a team to bring innovative ideas and effectively communicate complex concepts to diverse audiences.

As a Machine Learning Engineer, you will develop and maintain machine learning models, optimize ML pipelines for real-time processing, monitor model performance, and collaborate with a team to leverage the latest ML research. Strong communication skills are essential for explaining concepts to both technical and non-technical audiences.

The Senior Product Manager will define and build products for the physical economy, engage with strategic customers, and transform their needs into actionable product specifications. The role involves working closely with different teams to deliver a product roadmap that supports enterprise customers at scale.

The Research Scientist will lead the development of Latent Space Models to advance voice AI capabilities. Responsibilities include creating neural audio codecs, generative models for human speech synthesis, embedding systems for data control, and optimizing architecture for scalable performance in real-time applications.