Top Senior Machine Learning Jobs in Tucson, AZ

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Lead a team to build big data pipelines using distributed computing tools, collaborate with cross-functional teams, and drive technical and business priorities.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

The Account Executive will drive sales in the Federal (DoD) sector by identifying and closing new business, managing relationships, and overseeing the sales cycle, while ensuring compliance with federal procurement processes.

Lead product strategy for core distribution products, manage product managers, drive user engagement, and collaborate across teams to optimize product-market fit.

Design and optimize core platforms for machine learning features while collaborating closely with product and engineering teams. Refine user experience across products and influence the product roadmap.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

As a Senior Account Executive, you will manage a portfolio of accounts, partner with HR leaders, identify new business, and guide customer satisfaction to enhance account growth. You will develop strategic enterprise-wide strategies and educate customers on TalentNeuron's value proposition.

As the Engineering Lead, you will guide product strategy, manage and mentor engineers, and ensure successful execution in product areas, focusing on machine learning and technical expertise across teams.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.

Lead the full-cycle recruitment for the Machine Learning team, develop sourcing strategies, and improve hiring processes while ensuring a positive candidate experience.

Lead the evolution of Unity's Offerwall into an ML-driven monetization solution, collaborating with data scientists and game developers to optimize revenue and enhance user experience.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Manager of Field Engineering will lead a team of solutions architects, focusing on driving enterprise software and big data solutions to enhance customer success and revenue growth.

The Senior Product Manager will drive AI product development, analyze user data, collaborate across product teams, and lead agile execution strategies.

The Customer Success Manager will manage dealership accounts, ensuring satisfaction, improving performance through CRM analysis, and collaborating on product enhancements.

Lead the development of business models and go-to-market strategies in the Pharma commercial space, focusing on partnerships and innovative pricing.

This role focuses on increasing revenue in the Federal government sector by securing new accounts, expanding relationships, and engaging with government decision-makers to deliver ExtraHop's solutions.

As a Client Solutions Architect, you will lead technical solutions for clients, drive product adoption, manage projects, and serve as a liaison between clients and internal teams at Arine.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.