Top Senior Machine Learning Jobs in Tucson, AZ

The VP of AI will lead the integration of AI into products, drive strategy for AI initiatives, and ensure responsible implementation across the organization.

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 a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Lead design and execution of an Operational Readiness Verification (ORV) framework for AV operations: define safety gates, run pre-launch audits and red-team exercises, own safety cases and RCA processes, verify mitigations, and drive safety culture and reporting with clients and cross-functional teams.

The Senior Treasury Analyst will enhance Voleon's cash returns, manage liquidity, and support treasury initiatives, collaborating with finance and technical teams to drive operations and growth.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

The role involves handling complex technical support cases, acting as a senior escalation point, managing bugs, mentoring peers, and improving support quality.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

Manage product strategies and development for AI/ML SaaS products, oversee full product lifecycle, collaborate with engineering, and implement complex pricing strategies.

The Senior Product Marketing Manager will develop positioning and messaging for Cresta's Travel & Hospitality sector, leadership in market conversation, and go-to-market strategies to drive revenue growth.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

Lead the development and execution of ML-driven User Acquisition products, improving advertiser experience and managing product roadmaps in a fast-paced environment.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

The Partner Enablement Technical Lead will design and manage technical learning programs for partners, focusing on Data & AI technologies, and align strategies with business needs to enhance partner proficiency.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.