Top Machine Learning Jobs in Las Vegas, NV

Drive technical strategy for ML applications, enable advanced model architectures, improve system efficiency, and mentor junior engineers.

Lead a team of ML engineers and software engineers focused on Ads Content Understanding, driving innovation and efficiency in Ads Monetization.

The Principal Product Manager will define and execute strategies for machine learning-driven search suggestions, working cross-functionally to enhance search experiences and align with business objectives.

Lead the design and deployment of machine learning models for personalized healthcare, mentor engineers, and collaborate across teams to improve ML infrastructure.

Lead the architecture and development of machine learning systems for personalized care, treatment intelligence, and automation at scale. Collaborate with cross-functional teams and mentor engineers.

The Principal Machine Learning Engineer will architect and scale ML systems for personalized healthcare. Responsibilities include system design, optimization, technical leadership, and mentoring within the team.

As a Sr. Machine Learning Engineer, you will develop and deploy ML models, enhance care personalization, and mentor teams while optimizing workflows.

As a Senior ML Ops Engineer, you'll automate, monitor, and scale machine learning workloads, manage infrastructure, and collaborate with teams to productionize AI services.

As a Senior Machine Learning Engineer, you will design, build, and deploy ML systems at scale, collaborating closely with teams to optimize ticket pricing, demand forecasting, and fraud detection while maintaining high standards in software development.

The ML Workflow Engineer will design and develop diffusion-based image-generation pipelines, integrate tools, collaborate with artists, and optimize performance while contributing to the community.

Lead the architecture and development of AI and ML features, design evaluation frameworks, and mentor team members to enhance ML-driven product experiences.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Lead the development and implementation of machine learning solutions for the insurance industry, mentoring junior developers and optimizing AI/ML workflows.

Seeking a build engineer with strong software engineering skills to manage CI/CD systems and establish best practices for large-scale monorepos for ML applications.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

Design and develop scalable solutions for machine learning algorithms, collaborating with researchers and engineers to enhance Netflix's personalization systems.

The Growth ML & Experimentation Engineer will design adaptive growth systems for an AI employee, implement automated experimentation, and optimize performance through data-driven methods.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

Responsible for building scalable microservices and data pipelines, mentoring junior engineers, and ensuring data quality for ML training.

Collaborate with research engineers to build infrastructure for ML operations and automate model training for computer vision applications.

Lead and grow a global engineering team, drive technical strategy, and deliver value through innovative solutions while fostering a culture of growth and collaboration.

Lead the strategic direction for generative AI in advertising at Netflix by designing scalable systems for creative asset generation and semantic understanding, mentoring other engineers, and integrating these systems with existing ad tech.

As an AI Research Scientist, you'll lead the development of novel algorithms for intelligent control systems in industrial applications, collaborating with AI researchers and mentoring junior engineers.