Top Machine Learning Jobs in Atlanta, GA

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Lead the development and implementation of machine learning solutions for the insurance industry, mentoring junior developers and optimizing AI/ML workflows.

Seeking a build engineer with strong software engineering skills to manage CI/CD systems and establish best practices for large-scale monorepos for ML applications.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

Design and develop scalable solutions for machine learning algorithms, collaborating with researchers and engineers to enhance Netflix's personalization systems.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

The Growth ML & Experimentation Engineer will design adaptive growth systems for an AI employee, implement automated experimentation, and optimize performance through data-driven methods.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

Responsible for building scalable microservices and data pipelines, mentoring junior engineers, and ensuring data quality for ML training.

Collaborate with research engineers to build infrastructure for ML operations and automate model training for computer vision applications.

Lead and grow a global engineering team, drive technical strategy, and deliver value through innovative solutions while fostering a culture of growth and collaboration.

Lead the strategic direction for generative AI in advertising at Netflix by designing scalable systems for creative asset generation and semantic understanding, mentoring other engineers, and integrating these systems with existing ad tech.

As an AI Research Scientist, you'll lead the development of novel algorithms for intelligent control systems in industrial applications, collaborating with AI researchers and mentoring junior engineers.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.