Top Machine Learning Jobs in Santa Cruz, CA

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

Lead and mentor a team in building ML pipelines and AI solutions, oversee data projects, and collaborate with cross-functional teams for impactful insights.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

The Staff Product Manager will drive the vision and strategy for Reddit's Ad Recommendations, collaborating across teams to optimize advertising solutions and enhance monetization efforts.

Lead the Auto-Bidding team's technical vision, optimize recommendation and forecasting systems, mentor a high-performing engineering team, and drive technical projects in ad technology.

The VP of Communications will develop and execute Moloco's global communications strategy, engaging with stakeholders and managing both internal and external messaging.

Lead and optimize revenue management, distribution marketing, and sales for Kasa, developing AI-driven strategies to maximize profitability and improve guest experiences.

Lead a machine learning team focusing on natural language applications in educational measurement, mentor scientists, and drive R&D innovations.

The Visiting Researcher will assist in developing ML models for healthcare applications, including NLP and predictive modeling, under mentorship in a focused research project.

Lead the architecture and development of machine learning chiplet SoCs for robotics, ensuring performance and reliability while meeting safety standards.

As a Senior Sales Director, you'll lead and inspire a team of Enterprise Sales Leaders to achieve ambitious sales goals and manage the sales process from lead generation to closing.

The VP of Product will lead product development and strategy, enhance customer experiences, and manage product lifecycle in a SaaS environment.

The Senior Manager, Data Analytics leads a team of Data Product Managers to deliver insights, AI initiatives, and analytics solutions to support business growth across various departments.

The role involves executing Paid Media strategies, consulting clients, managing campaigns, and utilizing data insights for business growth. Strong communication and relationship-building skills are necessary.

The role involves developing and operationalizing ML and GenAI pipelines, automating model management, collaborating with teams, and mentoring staff.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Machine Learning Engineer will build models to detect fraud in Block's ecosystems, collaborate with teams, and enhance ML processes.

Lead a team optimizing backend systems for Netflix's Member Experience Pages. Focus on performance, scalability, architecture, and team growth while collaborating with various stakeholders.

Conduct research in machine learning and AI, focusing on robotics and AGI, while collaborating with teams and reporting findings.

The Senior Technical Recruiter will source, screen, and select candidates, focusing on Machine Learning and Big Data expertise while collaborating with various teams to enhance recruitment efforts.

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