Top Machine Learning Jobs in Phoenix, AZ

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

The Senior Software Engineer will design and build innovative software products, tackle complex problems across multiple systems, and work closely with various teams to enhance customer outcomes in physical operations.

Lead the Security & Risk department, overseeing cybersecurity and fraud prevention while implementing security automation and tools for innovation. Manage a skilled team, foster partnerships, and ensure physical security for employees and operations.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

Lead and grow Rula's privacy program ensuring compliance with HIPAA and other regulations while addressing AI-related risks and managing privacy incidents.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

Lead product strategy and execution at CertifID, integrating customer needs with company goals while driving innovation in fraud prevention technology.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

Lead strategy for growth data platform and personalization systems. Collaborate with teams to optimize customer experiences and drive product engagement.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

The Clinical Performance Auditor will conduct record reviews, analyze data for improvement opportunities, and provide education on clinical concepts to clients and internal teams.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

As a Sr. Product Designer, you'll create user-centered mobile experiences for AI-enabled mental health solutions, collaborating with cross-functional teams.

Lead the development of technology strategies for supply chain and manufacturing, oversee product managers, and drive the adoption of advanced manufacturing and robotics.

As AI Counsel, you will oversee AI compliance, enhance AI processes, educate staff on AI issues, and support cross-functional collaboration.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

As AI Product Owner, you will define product vision and strategy, manage backlogs, collaborate with stakeholders, and measure AI initiative impacts.

The Vice President of Data and Business Intelligence will create strategies for data governance, analytics, and insights to support business decisions and growth while managing a team.

The Director of Clinical Product leads AI-integrated mental health initiatives, ensuring clinical effectiveness and user engagement while collaborating with cross-functional teams to enhance patient experiences.

Lead and grow a team of engineers to build innovative software and hardware solutions, driving strategic vision and leveraging AI technologies.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

Design and develop AI-based conversational experiences, advocate user-centered design, create prototypes and documentation, and collaborate with teams to enhance user experience.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Lead the collection and analysis of cyber threat intelligence, focusing on the cybercriminal underground. Collaborate with stakeholders to drive projects, employing secure operational methods.