Top Senior Machine Learning Jobs in Las Vegas, NV

As the Engineering Manager, you'll lead technical initiatives in reporting and fraud prevention, build high-performing teams, and influence product strategy.

The Senior Learning Consultant will analyze client needs, translate workflows into training documentation, facilitate workshops, and ensure effective training design for system implementation.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Principal Technical Program Manager drives complex, cross-organizational data and AI programs, ensuring clarity and accountability among teams while aligning strategies with measurable outcomes.

As a Principal Machine Learning Engineer, you will develop multimodal AI experiences, design agent interactions, and lead cross-team initiatives while ensuring AI safety and reliability.

The Director of Customer Engineering will lead a team to drive the adoption of Elastic's solutions in observability, cybersecurity, and search AI while ensuring customer satisfaction and team collaboration.

The Product Manager will identify process improvements and innovations, utilize automation and AI, and manage the product lifecycle to enhance productivity and deliver business value.

The Lead Bioinformatics AI Scientist will lead AI and GenAI R&D initiatives to develop advanced clinical testing and genomic data analysis platforms, leveraging expertise in bioinformatics and machine learning.

As the Data Science Lead for Monetization, you'll shape monetization strategy, lead the data science team, and drive decision-making through measurement and experimentation.

Lead the development of a new product area focused on improving onsite customer experiences using AI and machine learning to optimize marketing conversions. Oversee product strategy, measure performance, and collaborate with teams to ensure successful product launches.

The Tax Product Manager will oversee product development from conception to launch, driving market innovation and aligning products with customer needs and business goals.

As a Staff ML Research Engineer, you will develop and optimize ML algorithms for drug discovery, transitioning high-impact prototypes into robust products and managing software development across the lifecycle.

The Director of Regulatory Affairs leads regulatory strategy and compliance for AVS Digital, overseeing a team to ensure successful product launches and submissions while maintaining compliance with regulations.

Lead the Opportunity Engine product development, managing cross-functional teams to drive advisor growth and improve client experiences using data and AI.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The VP of AI will lead the integration of AI into products, drive strategy for AI initiatives, and ensure responsible implementation across the organization.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The Senior Product Manager will advance fraud detection capabilities, manage product lifecycles, develop requirements, and collaborate with engineering and data science teams.

The Senior Principal Product Manager will define the product strategy for ExtraHop's RevealX platform, focusing on enhancing SOC workflows and leading cross-functional execution while mentoring peers and aligning product vision with business goals.

Own and close enterprise customer deals, develop expansion opportunities, educate customers on AI architectures, engage with multiple stakeholders, and collaborate with product and engineering teams.

The Product Manager Insurer Experience will enhance the Insurer experience on the AI Risk Exchange platform by identifying opportunities, collaborating with teams, and delivering high-impact solutions that drive value for third-party insurers.

The Enterprise Account Executive will drive the sales of Sift's fraud solutions to Fortune 1000 companies, engaging with key stakeholders and building custom strategies to address fraud challenges through value-based selling and collaboration.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.