Top Machine Learning Jobs in Atlanta, GA

As a Senior ML/AI Platform Engineer, you will develop scalable AI/ML models, optimize ML pipelines, mentor junior engineers, and design robust ML solutions. The role involves close collaboration with various teams to implement best practices and ensure the deployment of AI/ML products.

As a Research Intern at Ritual, you will prototype new mechanisms in AI and cryptography, collaborating with engineering teams to ensure real-world impact. Your work will be released into the open-source community to build modern AI infrastructure. Ideal candidates are intellectually curious and can take research from ideation to prototyping.

The Director of Data Science & Analytics (Retention) will lead a team focused on customer advocacy and retention by developing predictive models, analyzing customer lifetime value, and collaborating on targeted retention campaigns. This role involves strategic leadership, data-driven decision making, and cross-functional collaboration to optimize customer engagement and minimize churn.

As a Software Engineer in AI Decisioning at Hightouch, you will design and build scalable backend systems and machine learning infrastructure for real-time data analysis. Collaborating closely with product teams, you will develop AI-driven features that automate decision-making and enable hyper-personalization for growth teams, shaping the future of marketing operations.

Equilibrium Energy is seeking motivated individuals for future roles in software engineering, data science, energy trading, and product management. They promote a collaborative culture with opportunities for professional growth and include flexibility in work locations.

The Machine Learning Engineer will work on AI and software engineering projects, focusing on developing and implementing intelligent automation and data-driven solutions for clients. Responsibilities include collaborating with cross-functional teams to deliver cutting-edge technology solutions and contribute to the company's digital transformation efforts.

In this role, you will lead the AI and data strategy for 1848 Ventures, creating innovative solutions and overseeing the development and deployment of AI applications. You'll collaborate with cross-functional teams and build a high-performing AI team, ensuring data governance and ethical practices while driving business value through advanced data strategies and machine learning models.

As an ML Success Manager at Snorkel, you will lead the post-sales lifecycle for enterprise customers, focusing on building relationships, driving adoption, and ensuring successful outcomes. You will advocate for customers within product development, coordinate resources for issue resolution, and work with sales and technical teams to identify growth opportunities.