Top Machine Learning Jobs in Phoenix, AZ

Lead AI integration and performance optimization efforts, manage a team of SMEs, analyze AI performance, and drive adoption in workflows.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

The role involves developing AI-driven systems for threat research, automating analyst procedures, and collaborating with various teams to push the boundaries of cybersecurity.

Lead a team of ML scientists to develop advanced AI solutions, manage projects integrating Generative AI, and shape AI/ML vision while ensuring quality SaaS product delivery.

As a Product Owner, you will oversee AI, ML, and automation initiatives within the Pet Insurance sector, managing product backlogs and collaborating across teams to enhance operational efficiency and customer experience.

Lead the product strategy for the Data and AI Platform, focusing on customer-oriented AI features, roadmap execution, and collaboration across teams to enhance identity security solutions.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

As a Machine Learning Security Researcher, you will conduct research on security for machine learning systems, develop security frameworks, and engage with AI organizations to assess and improve their security posture.

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.

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.

The GVP, Strategic Sales - East leads the east strategic sales team, managing 32 sales professionals, overseeing business processes, and enhancing customer relationships to drive sales growth.

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.

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

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

Lead and grow a data science team to optimize customer service operations through advanced analytics, modeling, and real-time insights. Collaborate across departments to improve user experiences and drive measurable business impact.

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

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

The Credit Risk Manager will analyze data, develop risk management strategies, collaborate with cross-functional teams, and implement underwriting policies for credit cards.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Research Staff Machine Learning Engineer will focus on scalable model training for speech technologies, design internal tools, and innovate data strategies.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.