Top Machine Learning Jobs in Las Vegas, NV

As a Staff Machine Learning Engineer, you will shape the ML platform architecture, engineer scalable systems, and lead collaborative problem-solving while championing code quality and mentoring team members.

Develop LLM solutions, optimize ML pipelines, mentor teams, present at conferences, and collaborate with internal teams to shape ML initiatives.

The role involves collaborating with engineering and data science teams to enhance ad performance models, communicate with stakeholders, and analyze data for informed product decisions in mobile advertising technology.

Develop advanced machine learning techniques to enhance Zoom's AI search capability. Collaborate with teams to build AI-driven solutions for improved information retrieval and insights.

As a Senior Machine Learning Engineer, you'll develop deep learning models, manage MLOps infrastructure, and lead projects focusing on recommendation systems and NLP applications. Collaboration with engineers and product managers is essential, along with mentoring junior developers and influencing ML strategy alignment.

As a Staff Machine Learning Engineer, you'll engage in research and development of advanced machine learning models and AI solutions for Pinterest by tackling complex problems and collaborating with cross-functional teams, while maintaining high coding standards.

The Applied Mathematician will design and scale AI models, optimize algorithms, and collaborate on innovations in Generative AI technologies. They will mentor others and stay updated on GenAI advancements.

The role involves designing and maintaining AI content services, engaging in automated language generation, and working with cloud technologies.

As a Machine Learning Engineer, you will focus on building systems for data ingestion in a privacy-safe manner and collaborate with product teams to drive results.

The Technical Lead will optimize and fine-tune LLMs, improve model architecture for on-device performance, and collaborate on AI-powered browser features.

Develop and optimize AI models and training systems for robotics applications, collaborating with engineering teams for rapid experimentation and deployment.

Lead the design and deployment of generative AI models for product development, manage a high-performing engineering team, and ensure alignment with company goals.

Develop and optimize intelligent agents based on large language models, collaborate on improving agent performance, and stay current with AI trends.

Lead the development of device identification systems using Go and machine learning techniques. Collaborate with teams to optimize data collection and improve accuracy.

Assist in pioneering research in AI and ML at Sahara AI, focusing on innovative model development and collaboration with tech leaders.

Develop machine learning models to streamline construction permitting processes, leveraging LLMs, retrieval systems, and AI techniques. Collaborate with teams to optimize workflows and manage data.

As a Staff Data Scientist, you will develop and apply ML models on clinical and biomedical data, collaborating with cross-functional teams to solve scientific problems.