Top Machine Learning Jobs in Nashville, TN

The Machine Learning Engineer will design and deploy computer vision models, build training pipelines, and enhance ML infrastructure to improve agricultural field operations.

The Senior Machine Learning Engineer will drive innovation by building and operating AI-powered features for Calendly's clients, focusing on high-quality design and deployment processes.

Partner with Account Executives to deliver technical demos, PoCs, and proposals; design integrations and architectures; support evaluations, onboarding, and cross-functional handoffs; train teams and build technical assets.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

The role involves acting as a technical advisor for clients, driving product adoption and implementation of the Moloco Commerce Media platform, providing training, and collaborating with teams to enhance solutions based on client feedback.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

The Product Operations Associate will support the development of AI-driven products by ensuring accuracy, documentation, and effective workflows, while collaborating with various teams.

Lead the development of AI-powered tools and products, manage product roadmaps, collaborate cross-functionally, and drive innovation in media and advertising.

The Core Engineer will develop backend systems, utilize AI tools for code quality, and optimize application performance while collaborating closely with teams.

The Technical Product Manager will define roadmaps for an AI Platform, manage ML systems, partner with engineers, and improve healthcare outcomes.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Lead a team optimizing backend systems for Netflix's Member Experience Pages. Focus on performance, scalability, architecture, and team growth while collaborating with various stakeholders.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Senior Product Manager will lead the pricing and valuation engine, overseeing ML modeling, pricing systems, and improving valuation accuracy while managing cross-functional roadmaps and execution.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

The Principal Applied Scientist will lead the development of advanced computer vision and ML systems, optimizing solutions for real-time performance on edge devices and ensuring reliability in dynamic environments.

The VP of Client Development will lead InMobi's growth strategy within the OEM and Telco sectors, establishing executive partnerships, joint business plans, and aligning product innovation to maximize market opportunities. The role requires extensive experience in enterprise partnerships and strategic business development with global technology leaders.

The role involves designing and supporting GPU/Kubernetes clusters for AI/ML workloads, developing automation tools, and troubleshooting infrastructure issues.

Co-found and lead a stealth startup building an agentic AI platform embedded in CAD tools to automate geometry updates, feature-tree edits, and cross-tool workflows. Drive product, engineering, and commercial strategy, hire the founding team, and develop a defensible data capture and automation stack for industrial CAD workflows.

As an AI/Machine Learning Intern, you will contribute to software applications and AI projects, working with data engineers and researchers to implement innovative solutions.

The intern will work on AI projects, gaining hands-on experience in software development, algorithm evaluation, and collaboration with engineers to enhance AI capabilities.

The Senior Machine Learning Engineer will design, train, and evaluate ML models to solve complex problems, mentor others, and optimize production systems.

Lead RWE study design and execution: develop protocols, statistical analysis plans, and R/SQL programs to produce analysis-ready datasets, tables, and figures; apply causal inference, time-to-event, and predictive methods; collaborate with scientists and stakeholders to deliver RWE insights.