Top Machine Learning Jobs in Las Vegas, NV

The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.

As a Research Engineer at Snorkel, you will innovate and implement cutting-edge research into user experiences and establish state-of-the-art approaches for data-centric model iteration and analysis. You will prototype workflows, validate your work with design partners, and contribute to novel research alongside other scientists in the field.

The Enterprise Business Development Executive will drive new business and revenue growth for Fuel iX by maintaining a robust pipeline, developing deep customer understanding, communicating solutions, and achieving sales goals in the B2B SaaS and AI space.

The ML Engineer for Computer Vision will work with advanced techniques in artificial intelligence and computer vision to develop algorithms that enhance Entefy’s products. Responsibilities include using machine learning tools and computer vision techniques for image processing and analysis on various confidential projects.

The Head of Solutions Implementation will manage client relationships, lead project teams, drive business development, and mentor team members. This role involves strategic planning, contributing to the firm's methodologies, and enhancing client solutions through advanced data analysis and automation.

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

The Sales Development Representative will identify and solicit new customer accounts, generating leads for the Regional Sales Team. Responsibilities include managing the initial sales process for EHR solutions, conducting cold calls, achieving sales targets, and maintaining relationships with customers.

The Senior AI/ML Engineer will design and implement machine learning algorithms, maintain ML system pipelines, and integrate AI components into various applications. Collaborating with cross-functional teams, the engineer will also manage version control, implement CI/CD pipelines, and design RESTful APIs, all while working in fast-paced, regulated environments.

As a ML Solutions Engineer, you will act as a trusted advisor to customers, engaging them with product education and managing escalations while influencing product roadmaps. Your role involves gathering goals and KPIs with pre-sales engineering, demonstrating AI product value, and developing relationships with technical stakeholders.

The Principal Engineer, AI/ML will lead competencies in machine vision, NLP, and generative AI. Responsibilities include designing and fine-tuning machine learning models, deploying and monitoring models on the cloud, and ensuring scalable and robust systems and APIs.

As a Technical Program Manager at Coinbase, you will lead machine learning focused programs, ensuring strategic alignment and roadmap delivery. You'll work with cross-functional teams, manage documentation and communication, monitor program status, and address issues proactively. Additionally, you will need to communicate effectively with both technical and non-technical stakeholders.

This role involves leading the development of AI/ML technologies and platforms, designing architecture, implementing infrastructure, collaborating with various teams, managing project roadmaps, and driving the technical vision and strategy of AI/ML within the organization. Additionally, it encompasses mentoring engineering teams and ensuring continuous improvement in quality, security, and performance metrics.

phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.

The Product Manager will expand Zingtree's AI-based product portfolio, driving new product development and enhancements. Responsibilities include collaborating with engineering, understanding customer needs, crafting business plans, and staying updated on AI technology and market trends.

As a Machine Learning Engineer for the Advertiser Budget Optimization team at Reddit, you will build and optimize advertising budget systems using advanced techniques, collaborate on technical designs, and analyze experiments to enhance monetization efficiency. Your role involves working with real-time auction data and engaging with various teams for system improvements.

As a Senior Manager in AI/ML Engineering, you will lead teams of machine learning engineers and data scientists to deliver scalable AI and machine learning solutions. You will advocate for engineering best practices, coach engineers, and drive innovative solutions to enhance Nike's supply chain with advanced analytics.

The ML Engineer - Inference at Symbl.ai will develop and optimize deep learning models for real-time communication applications, focusing on the Nebula language model. Responsibilities include designing algorithms, integrating models into production, optimizing for various environments, and evaluating model performance, all while collaborating with cross-functional teams.