Top Machine Learning Jobs in Las Vegas, NV

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.

Lead the Security & Risk department, overseeing cybersecurity and fraud prevention while implementing security automation and tools for innovation. Manage a skilled team, foster partnerships, and ensure physical security for employees and operations.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

Lead and grow a data science team to optimize customer service operations through advanced analytics, modeling, and real-time insights. Collaborate across departments to improve user experiences and drive measurable business impact.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

Lead strategy for growth data platform and personalization systems. Collaborate with teams to optimize customer experiences and drive product engagement.

The Credit Risk Manager will analyze data, develop risk management strategies, collaborate with cross-functional teams, and implement underwriting policies for credit cards.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

The Research Staff Machine Learning Engineer will focus on scalable model training for speech technologies, design internal tools, and innovate data strategies.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

The role involves reimagining business processes through AI, driving AI initiatives, managing governance, and sharing AI knowledge across the enterprise.

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

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools and systems for compliance and risk management.

The Principal Product Manager will lead the strategy and delivery of an AI-native compliance platform, overseeing product development and working cross-functionally with various teams.

Lead the strategy and delivery of an AI-native platform for internal tools and compliance. Collaborate cross-functionally to enhance scalability and efficiency.

Lead the strategy and delivery of an AI-native platform, overseeing internal tools and compliance programs for Circle.

Lead architectural strategy and technical vision for Affirm's Purchasing, Credit Underwriting, and Machine Learning infrastructure domains, mentoring senior engineers and guiding cross-functional teams.

The Principal Product Manager will lead the development of an AI-native platform, overseeing design, strategy, and cross-functional coordination for compliance and operational tools within Circle.

Lead the strategy and delivery of an AI-native platform, transforming internal tools into a unified system while collaborating with cross-functional teams.

The Principal Product Manager will lead the strategy and delivery of an AI-native platform, connecting internal tools and compliance systems at Circle, ensuring regulatory performance while fostering innovation.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools, compliance programs, and partnership with vendors.