Top Remote Senior Level Machine Learning Jobs in Las Vegas, NV

As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.

As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.