Top Machine Learning Jobs in Atlanta, GA

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

Design and implement AI/ML systems for healthcare challenges, manage machine learning systems, and develop data pipelines for real-time insights.

Lead a team of data scientists to implement advanced data science projects, focusing on machine learning, GenAI, and strategic initiatives for business impact.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

The Training & Education Specialist will design and deliver training programs for customers and internal teams, enhancing client adoption of Vividly's platform using modern tools including AI and automation.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a team to build big data pipelines using distributed computing tools, collaborate with cross-functional teams, and drive technical and business priorities.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Account Executive will drive sales in the Federal (DoD) sector by identifying and closing new business, managing relationships, and overseeing the sales cycle, while ensuring compliance with federal procurement processes.

The role involves designing and building scalable messaging systems, providing technical leadership, and improving system observability, performance, and reliability.

Design and optimize core platforms for machine learning features while collaborating closely with product and engineering teams. Refine user experience across products and influence the product roadmap.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

As a Senior Account Executive, you will manage a portfolio of accounts, partner with HR leaders, identify new business, and guide customer satisfaction to enhance account growth. You will develop strategic enterprise-wide strategies and educate customers on TalentNeuron's value proposition.

The Product Manager will drive customer retention and engagement through strategy execution, cross-functional collaboration, customer insights, and AI integration to enhance Teachstone's educational offerings.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.