Top Remote Machine Learning Jobs in Tucson, AZ

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Lead the Anaplan platform and data strategy, develop financial models, implement advanced analytics, and mentor team members for a FinTech team.

The Pre-Sales Solutions Engineer will act as a technical advisor, helping customers understand AI solutions for insurance workflows, support sales processes, and ensure customer satisfaction with product demos and integrations.

The Technical Program Manager will support Distributed Energy Resource (DER) partners in integrating with EnergyHub, managing launches, tracking project progress, and ensuring post-launch support, all while optimizing processes for scalability.

The Marketing Analyst develops data visualizations and executive dashboards, utilizes machine learning for customer insights, and collaborates with teams to drive strategic decisions.

The Senior Product Manager will drive the vision for AI and synthetic data products, leading strategy, execution, and collaboration across teams to deliver innovative solutions aligned with business objectives.

The Sales Development Representative is responsible for generating, qualifying, and nurturing leads, supporting the sales team, and developing outbound prospecting strategies to expand Mutt Data's presence in the U.S. market.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

The role involves transforming ideas into AI prototypes, collaborating with teams, and managing the entire development process from concept to delivery.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

As a Machine Learning Intern, you will work on advanced AI solutions, collaborate with teams to design ML systems, and analyze data to enhance user experiences at Dropbox.

The Product Copywriter will enhance in-product language, creating clear and consistent UX copy that aligns with the brand, while developing a comprehensive UX Voice & Tone Guide.

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

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.

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.

Lead engineering teams in developing high-performance systems for trading and model inference. Drive innovation and mentorship while ensuring operational excellence and collaboration with stakeholders.

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

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

Research decentralized learning, design incentive mechanisms for community-driven AI, and prototype systems to enhance AI infrastructure.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.