Top Machine Learning Jobs in Atlanta, GA

Lead product management for AI tools in software/SaaS, manage product lifecycle, drive strategic roadmap, and ensure product adoption through iterative shipping and user feedback.

The S&OE Process Manager oversees Clorox's S&OE process improvements in the IBP teams, providing training and technical solutions while monitoring performance and enhancing methodologies.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The Director of Engineering will lead the development of enterprise API and customer identity platforms, overseeing software engineering processes, strategy, and team management, while coordinating with business stakeholders.

The Analytics Product Manager will lead the delivery of enterprise logistics analytics solutions by collaborating with business and technical teams to define products, manage the roadmap, and ensure data quality and governance.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

Analyze malware and detection data to improve machine learning models, manage false positives, and respond to internal inquiries regarding threat detections.

The Senior Manager, Finance Process Owner will lead optimization and governance of Payroll and Stock Administration, ensuring seamless integration and compliance while driving continuous improvement and automation initiatives.

As a Business Operations Associate, you will support data-driven decisions across key initiatives, design A/B experiments, optimize user acquisition, and improve operational efficiency.

Manage Jerry's organic community strategy across platforms like Reddit, Quora, and TikTok, enhancing brand authenticity and user engagement.

As a Senior Associate in Business Operations, you will drive data-driven decisions across key initiatives, lead A/B tests, and optimize operational efficiency.

As a Senior Associate in Business Operations, you will drive data-driven decisions, lead A/B experiments, and optimize business strategies in a growing startup environment focused on car ownership solutions.

Build and enhance an ML platform supporting the full model lifecycle, scalable training and real-time prediction services, expand NLP capabilities, design data engineering solutions, maintain production reliability, and mentor junior engineers.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

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

The Data Scientist will optimize global shipping using data science to build predictive models, create dashboards, and enhance operational performance. Requires strong skills in AI and collaboration.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.

As a Principal AI Researcher, you will lead advanced AI research in agentic systems and LLMs, shaping research direction, collaborating with engineering teams, and publishing in top-tier venues while fostering a culture of scientific rigor.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The AI Data Specialist builds and maintains data pipelines, models, and integrations for AI systems, working closely with clients to ensure data quality and effective communication. They manage end-to-end data delivery for multiple projects in a fast-paced environment, translating complex problems into clear solutions.