Top Machine Learning Jobs in Atlanta, GA

As a Sales Engineer at Arize, you will build relationships with technical stakeholders, lead product demonstrations, and understand customer ML stacks. Your role involves handling technical objections and providing educational content on ML. You'll collaborate with sales, engineering, and product teams to enhance the Arize platform's market reach and address production ML challenges.

The Staff Software Engineer in Machine Learning at Headspace will lead the development of the ML Platform, driving the design and evolution of systems that enhance the capabilities of ML engineers. This role focuses on building scalable ML systems, automating model lifecycle management, engaging in collaborative problem-solving, and maintaining high engineering standards through technical leadership and mentorship.

This role involves developing Generative AI applications and optimizing machine learning pipelines for customers. Responsibilities include building LLM solutions, providing technical mentorship, and collaborating cross-functionally to shape product strategies. The role emphasizes customer interactions and requires expertise in ML technologies and best practices.

The Technical Product Manager will collaborate with data science and engineering teams to optimize ad performance and user acquisition through advanced models and infrastructure integration. They will ensure effective communication with stakeholders and utilize data-driven insights to guide product success, while staying informed on industry trends and performance metrics.

The Software Engineer (ML) at Tavus will develop features utilizing computer vision and NLP, manage ML Ops tasks such as testing and data processing, and improve generative AI models. The role requires ownership of technical direction and collaboration to enhance the company’s AI capabilities.

The Software Engineer will engage in automated language generation, contributing to over 700 AI-authored articles daily and working on user-facing content for various Dow Jones brands. The role involves utilizing AI technologies and collaborating with stakeholders to maintain and build services in the content creation domain.

The role involves developing and implementing advanced machine learning techniques to enhance Zoom's AI-driven search solutions, collaborating with cross-functional teams to improve information retrieval and deliver actionable insights, and strengthening the AI capabilities for meeting summaries and recommendations.

The Senior ML Engineer will develop and optimize machine learning models for logistics technology. Responsibilities include ensuring model efficiency, automating ML pipelines, conducting research, enhancing predictive accuracy, and scaling performance. The role demands complex logic integration into business processes, focusing on utilizing tabular data effectively.