Machine Learning Jobs in North Las Vegas, NV

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

As a Manager at PwC, you will lead AI and machine learning projects, motivate teams, cultivate client relationships, and ensure quality deliverables while fostering innovation.

As a Senior Associate in Business Operations, you'll drive data-driven decisions for business growth, lead A/B tests, and optimize user acquisition strategies.

The Community Manager will build and grow Jerry's presence on platforms like Reddit, Quora, and TikTok, developing engagement strategies and measuring community metrics to ensure authenticity and trust with users.

As a Business Operations Associate, you will support critical business initiatives by analyzing data, optimizing processes, and leading experiments for user acquisition strategies.

As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.

The Senior Software Engineer will develop performance metrics tools for autonomous vehicles, collaborating with cross-functional teams to ensure data quality and drive technology advancements.

The AI Technology Associate role is an entry-level position involving rotation through five teams: Data Engineering, AI, Product, Development, and Data Science. The position focuses on AI-driven projects, requiring proficiency in AI tools, software development, and data analysis.

The Customer Success Ops Manager will oversee rental car partners, focusing on damage validation, customer relationships, and operational excellence.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

Manage distributed machine learning workloads using Slurm and Kubernetes, ensuring cluster operations and mentoring engineers in best practices.

The Machine Learning Engineer will develop and manage production ML systems for renewable energy deals, focusing on user feedback and model performance.

The VP Revenue Data Science leads revenue strategy and data science, developing pricing models, predictive analytics, and optimizing revenue through data-driven insights.