Top Remote Machine Learning Jobs in Nashville, TN

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

Lead the implementation of agentic AI and workflow automation across business functions, ensuring effective adoption and measurable business impact.

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.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

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.

As a Machine Learning Platform Engineer, you'll enhance ML inference infrastructure, optimize data pipelines, and build tools for model performance monitoring.

As a Machine Learning Engineer in the Risk AI/ML team, you will design and deploy sophisticated AI/ML models to prevent fraud and improve risk detection processed while leading technical strategies and mentoring team members.

The Senior Machine Learning Platform Engineer will mentor junior engineers, optimize ML inference infrastructure, and build tools for data quality in high-performance distributed training jobs.

As a Senior Machine Learning Engineer at Coinbase, you will lead the design, development, and deployment of advanced risk detection models while mentoring junior engineers. You'll collaborate on technical roadmaps and apply cutting-edge ML methodologies to enhance security against fraud and scams.

The role involves developing ML models to enhance security measures against fraud and scams, collaborating across teams, and deploying sophisticated AI solutions on the self-service ML platform.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

As a Machine Learning Model Risk Specialist, you will collaborate with model developers to ensure robust model risk management, documentation, and stakeholder communication while adhering to regulatory requirements.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

Responsible for designing and implementing AI solutions across cloud platforms, leveraging Generative AI, and managing AI services, pipelines, and infrastructure.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

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.

The Director will lead AI-driven automation within Finance Technology, overseeing a global AI/ML Center of Excellence, developing strategies and solutions for finance processes, and driving digital transformation effort.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

As an Operations Specialist, you'll handle full-cycle recruitment for light industrial roles, making high volume calls, scheduling interviews, and providing feedback, requiring strong communication and adaptability in a fast-paced environment.