Top Machine Learning Jobs in Las Vegas, NV

Lead AI-driven automation strategies to enhance data management and operational productivity, mentor teams, and analyze data trends for decision-making.

Lead a team of Data Scientists and Machine Learning Engineers to develop ML models, drive product strategy and enhance data infrastructure.

Lead the collection and analysis of cyber threat intelligence, focusing on the cybercriminal underground. Collaborate with stakeholders to drive projects, employing secure operational methods.

The Senior Product Manager will develop risk management strategies, build scalable solutions, manage product roadmaps, and ensure compliance with financial regulations, while leading cross-functional teams.

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

The Senior Technical Sourcer will partner with recruiters to source candidates, develop market mapping, and build a diverse talent pipeline for technical roles, especially in Machine Learning and related fields.

The Senior Product Manager will define product strategy, drive AI innovations, develop new SKUs, engage customers, and collaborate cross-functionally in supply chain visibility solutions.

As an AI Integration Engineer, you will integrate AI models into products, collaborate with data science teams, and enhance user experience.

The Engineering Manager, Applied AI will lead and mentor a team focused on generative AI products, oversee project development, and collaborate with cross-functional teams to drive software development best practices.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Cybersecurity Manager will oversee security governance, manage risk assessments, ensure compliance with regulations, and lead security operations and strategies.

As an AI Architect, you'll design and build AI agents, leading technical discovery sessions with clients to enhance customer experience using AI solutions.

Lead and scale the AI Center of Excellence, developing innovative AI solutions for cybersecurity, collaborating across functions, and managing a global team.

Cedar seeks a Staff Applied AI Scientist to develop AI-powered healthcare solutions, lead projects, mentor the team, and enhance patient billing experiences.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data for insights, manage client disputes, and collaborate across teams for effective risk management.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

The role involves scaling training systems for speech technologies, building internal tools, and innovating data strategies in machine learning.

The GRC Analyst will manage third-party risk assessments, support SOC2 audits, develop GRC policies, and promote security awareness.

As a Machine Learning Engineering Intern, you will support the development and deployment of machine learning models, assist in integrating tools, participate in code reviews, and work in an Agile environment.

Lead and grow Rula's privacy program ensuring compliance with HIPAA and other regulations while addressing AI-related risks and managing privacy incidents.

Lead data science and AI initiatives, drive operational excellence, build teams, and translate data insights into business strategy for growth.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.