Top Senior Machine Learning Jobs in Tucson, AZ

The Senior Software Engineer will enhance AI models, operate core ML workloads, and improve system efficiency, while collaborating with teams to enhance user experience.

The Senior Software Engineer will work with machine learning teams to deploy AI models, improve performance, and manage production services.

As a Senior Data Scientist, you will detect fraud, optimize payments, analyze data via A/B testing, and collaborate with various teams to enhance Lime's payments system.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As the Engineering Manager, you will lead a product engineering team, influencing technical design, product delivery, and team growth while collaborating across functions and focusing on operational quality in payment solutions.

The Account Executive will drive revenue growth, manage client relationships, execute sales deals, and optimally align market strategies for NexGen Cloud's GPU solutions across various industries.

The Business Development Director is responsible for acquiring new clients and expanding existing accounts, focusing on data, AI, and consulting services. Key duties include pipeline development, stakeholder engagement, revenue forecasting, and representing the company at industry events.

The Director of Business Product Management will define and execute the vision for the Automotive CRM platform, prioritizing customer needs, leading product initiatives, and collaborating across teams to enhance automotive retail experiences.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

Develop and optimize machine learning systems for Yahoo News, collaborate with teams to enhance user experience and editorial tools.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

Lead and mentor a team in building ML pipelines and AI solutions, oversee data projects, and collaborate with cross-functional teams for impactful insights.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.

The Staff Product Manager will drive the vision and strategy for Reddit's Ad Recommendations, collaborating across teams to optimize advertising solutions and enhance monetization efforts.

Lead the Auto-Bidding team's technical vision, optimize recommendation and forecasting systems, mentor a high-performing engineering team, and drive technical projects in ad technology.

The VP of Communications will develop and execute Moloco's global communications strategy, engaging with stakeholders and managing both internal and external messaging.

Lead and optimize revenue management, distribution marketing, and sales for Kasa, developing AI-driven strategies to maximize profitability and improve guest experiences.

Lead a machine learning team focusing on natural language applications in educational measurement, mentor scientists, and drive R&D innovations.

As a Senior Sales Director, you'll lead and inspire a team of Enterprise Sales Leaders to achieve ambitious sales goals and manage the sales process from lead generation to closing.

The Senior Manager, Data Analytics leads a team of Data Product Managers to deliver insights, AI initiatives, and analytics solutions to support business growth across various departments.

The role involves developing and operationalizing ML and GenAI pipelines, automating model management, collaborating with teams, and mentoring staff.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.