Top Remote Machine Learning Jobs in Las Vegas, NV

The Manager of Engineering will lead and mentor technical teams, manage project delivery, ensure alignment with organizational goals, and drive technical excellence.

Evaluate AI-user conversations by assessing user sentiment and determining if the AI met emotional expectations, providing concise evaluations.

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.

The role involves rotations in data science and analytics, with responsibilities in data collection, advanced analytics, and machine learning operations to improve products and services.

The Senior Applications Engineer will work with research teams globally to adopt GenAI software, optimizing AI models, and providing engineering feedback on improvements for scientific research.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

Lead initiatives to enhance advertiser experience and define execution strategies for ML-powered User Acquisition products. Collaborate with engineering teams and analyze metrics to ensure product performance.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

The Machine Learning Engineer will develop and deploy AI/ML solutions, collaborate with data scientists and engineers, and enhance the platform experience.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

The Director of Data & Analytics will define and execute the data strategy, lead a team, and collaborate across departments to ensure data is a strategic advantage for the company.

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

Equilibrium Energy seeks motivated individuals for various roles including Software Engineering, Data Science, Energy Trading, and Product Management. Candidates are invited to submit resumes and cover letters for future openings.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

Lead the transformation of Clinical and Customer Operations at Hims & Hers by driving technology and AI strategy while managing teams, defining product vision, and ensuring alignment with business goals.

The DeFi Researcher will lead client engagements, perform research on DeFi mechanisms, develop predictive models, and publish insights while managing a team to ensure client success.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

The Behavioral Designer translates behavioral science insights into actionable guidance for content development, collaborating with teams to enhance healthcare interventions through Precision Nudging.

Drive and implement machine learning applications, optimize practices, formulate hypotheses, and communicate requirements to enhance advertising strategies and systems.