Top Machine Learning Jobs in Las Vegas, NV

The Senior Machine Learning Engineer will build and scale AI platforms while collaborating across disciplines to create effective agents, leading technical direction and making impactful AI applications.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.

Analyze complex challenges and enhance AI infrastructure through advanced machine learning, while mentoring engineers and developing production-grade systems.

As a Machine Learning Platform Engineer, you'll design a centralized platform for ML solutions, advocate for its adoption, manage priorities, write scalable code, debug systems, and integrate with third-party vendors.

As a Senior Machine Learning Engineer, you will design and implement advanced machine learning models and solutions, collaborate with stakeholders, mentor junior engineers, and enhance product capabilities using AI technologies.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Director of Enterprise Analytics leads the analytics team, focusing on strategic data insights, cross-functional collaboration, performance metrics, and team development to optimize revenue and improve operations.

Develop, deploy, and enhance machine learning models and services for Netflix's ad platform to optimize ad personalization and scalability, collaborating with cross-functional teams to drive business impact.

The Senior QA Engineer will lead quality engineering execution, architect testing frameworks, and ensure product reliability while collaborating with engineering teams.

As Senior Director of Product Management, you will guide the vision and delivery of DealCloud for Legal, enhancing its applications for law firms by collaborating with stakeholders and leading a product development team.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As a Senior Solutions Consultant, you will support sales by understanding client needs, providing product demonstrations, and managing proposals while fostering collaboration between teams.

The Data Scientist role involves developing AI driven marketing models, facilitating data-based insights for outreach strategies, and managing end-to-end machine learning pipelines to optimize marketing efficiency.

The Director of Business Development, Data Solutions is responsible for scaling business, managing key accounts, and building strategic partnerships, focusing on data services and analytics solutions.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, and mentor project teams, ensuring client satisfaction and leveraging the latest advancements in the field.

The Research Scientist will develop innovative neural architectures, work with engineers on product alignment, and stay updated on academic research.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Lead AI/ML product strategy and execution. Manage PM team, define product vision and success metrics, ensure compliance, and represent Workiva externally.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.