Top Machine Learning Jobs in Las Vegas, NV

Lead a team of engineers to design, develop, and enhance the data ingestion platform, focusing on real-time data processing and system reliability.

As a Senior Software Engineer, you'll develop, launch, and maintain scalable applications, collaborating with various teams, and utilizing technologies including Java, Node.js, and AWS.

The engineer will develop and evaluate machine learning models for ultrasound devices, lead small teams, curate datasets, and document performance results.

Lead the deployment and optimization of AI models for inference and agentic platforms, focusing on lifecycle management and collaboration with infrastructure teams.

Lead the architecture and development of ML systems, integrating various models and tools, ensuring they are secure and efficient while mentoring engineers.

As an Associate Technical Architect in Machine Learning, you will design and develop advanced ML models on AWS, ensuring scalability and reliability while collaborating with cross-functional teams.

The Senior Machine Learning Engineer at SmarterDx will deploy, maintain, and optimize machine learning models, collaborating across disciplines to integrate these solutions and improve clinical AI outcomes.

The Senior Applied Scientist will develop and integrate advanced AI/ML models for estate planning, leading projects and collaborating with teams on complex data processes and applications.

Build and implement AI solutions for cybersecurity, focusing on vulnerability detection and exploitation. Collaborate with senior engineers and mentor junior team members.

The role involves leading ML/AI solutions, managing technical roadmaps, collaborating with stakeholders, and driving innovation in products and services.

The Software Engineer will develop machine learning infrastructure, optimize models, and create tools for data analysis while collaborating with a diverse team.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

Design and implement ML systems for ads targeting, drive technical direction, mentor junior engineers, and collaborate cross-functionally for product development.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

The Staff Product Manager will define and lead ML-driven ranking, targeting, and personalization systems for Fetch's ads business, working with cross-functional teams to optimize user experiences and advertiser outcomes.

The Senior Software Engineer will own large-scale data mining workflows, improve ML products through high-quality datasets, and analyze model performance across driving scenarios.

Join a team focusing on end-to-end ML Ops for the insurance sector. Develop and deploy ML solutions, build infrastructure, and solve business challenges using advanced technologies.

The role involves sourcing and recruiting senior engineers in AI, ML, and related fields, building talent pipelines, and collaborating with engineering leadership.

Lead the design and implementation of deep learning models for biological data, focusing on model architecture, project leadership, and innovation in machine learning applications in biology.

The Senior Machine Learning Engineer will design and maintain ML solutions for fraud detection, collaborating across teams and establishing MLOps best practices.

The role involves developing scalable ML solutions, leading cross-functional discussions, analyzing knowledge data, and producing technical documentation to improve search relevance using AI and machine learning technologies.

Lead the development of AI systems for vulnerability detection and penetration testing with expertise in AI/ML technologies and cybersecurity principles.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

Develop AI tools using statistical modeling and establish pipelines for causal inference and predictive analytics to assist political campaigns.