Top Machine Learning Jobs in Atlanta, GA

Lead product management for an ML-driven CAD prosthetic design system, managing product lifecycle, strategy, and cross-functional collaboration.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

The role involves consulting with State & Local Government clients to implement digital transformation strategies using AI, managing customer engagement, and developing new product offerings aligned with public sector goals.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

As a Principal Marketing Analyst, you'll drive data-driven marketing decisions, build reporting frameworks, and conduct advanced analytics to enhance marketing strategies and performance.

Lead the Product Marketing Management team to drive revenue growth and market awareness, overseeing product strategy, pricing, and cross-functional alignment while mentoring the team and advocating for customer insights.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The Head of Disputes & AI Operations will lead Casap's dispute strategy, leverage AI to optimize processes, and ensure customer success while overseeing a high-impact team.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

Design, build, and own automation systems that enhance Valimail's go-to-market strategies. Collaborate cross-functionally to implement data-driven workflows and improve revenue outcomes.

The Research Scientist will conduct studies on natural language processing and machine learning, transition models to production, conduct experiments, publish research, and create new models to enhance products.

Lead AI development at Bloomerang, overseeing product strategy, managing teams, ensuring ethical AI practices, and integrating innovative AI solutions for nonprofits.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

The Marketing Analyst develops data visualizations and executive dashboards, utilizes machine learning for customer insights, and collaborates with teams to drive strategic decisions.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Lead the analytics strategy for Yahoo Mail, overseeing product engagement and retention. Manage a data science team, design experiments, and provide insights to inform product development.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

The Principal Solutions Architect will analyze environments, design solutions, guide IT projects, and ensure technical and functional alignment with business requirements, focusing on the Department of Veteran Affairs.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.