Top Machine Learning Jobs in Huntsville, AL

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

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.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

The Senior Product Manager will drive AI product development, analyze user data, collaborate across product teams, and lead agile execution strategies.

The Senior Cybersecurity Analyst monitors threats, responds to incidents, utilizes AI for detection, and collaborates with teams to enhance cybersecurity operations.

The Cybersecurity Analyst will monitor security breaches, conduct threat detection using AI and Google tools, respond to incidents, automate workflows, and prepare reports on security statistics.

As a Principal ML Engineer, you will establish the technical vision for personalization at Launch Potato and drive alignment across ML teams while solving complex challenges and mentoring engineers.

The Principal ML Engineer establishes the technical vision for personalization and designs ML solutions that drive company strategy. Responsibilities include solving ML challenges, leading cross-functional initiatives, and mentoring senior engineers.

Lead the technical vision for personalization at Launch Potato, architecting ML solutions and influencing strategy while mentoring senior engineers.

Lead the technical vision and strategy for personalization at Launch Potato, solving complex ML challenges and mentoring senior engineers.

The Senior Pre-Sale Technical Engagement Manager leads the delivery of Proof of Capability projects, manages pilot implementations, configures solutions, and collaborates with clients to demonstrate Amperity's value.

This position is for candidates who met with our team at the Chicago SACC 2025 event, interested in AI and machine learning roles at Scale AI.

The BSS Solution Architect will define customer solutions, manage end-to-end architecture, ensure implementation integrity, and contribute to sales and project delivery.

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

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.

As a Principal Product Manager, you will manage cross-portfolio initiatives, collaborate with Data and Engineering teams, and ensure product alignment with customer needs.

The VP of FP&A will lead Pacvue's FP&A function, partner with CFO, build a high-performing team, and support strategic growth initiatives.

Lead the technical vision for deep learning architecture in therapeutic discovery. Mentor a team and collaborate across functions to implement innovative machine learning models.

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.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The VP of Business Development will lead sales growth strategies, manage relationships, and build the BD team to drive significant revenue increases.

The Machine Learning Scientist will develop models and systems for content metadata and discovery at Netflix, collaborating with teams to operationalize AI solutions. The role requires significant experience and collaboration with stakeholders.

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.