Machine Learning Jobs in Visalia, CA

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

Develop machine learning models to prevent risky or abusive activities in financial transactions, ensuring a secure user experience for families using Cash App.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

The role involves developing ML models, leading research projects globally, and reviewing AI/ML literature to enhance techniques and methodologies.

As an Associate Business Development Representative, you'll generate leads, qualify opportunities, and maintain CRM records. You'll engage with prospective clients and help optimize the sales process.

As a Machine Learning Engineer, you'll lead projects in data acquisition and curation, develop scalable systems for ML datasets, and analyze data for insights. Collaborate with AI researchers, build datasets, and write well-documented code for generative AI features in Autodesk products.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

Manage AI product development, driving discovery, execution, and data-driven decisions to improve customer outcomes. Collaborate with teams.

The Machine Learning Scientist will develop AI-based solutions to manage risks, collaborating with various teams while optimizing ML processes and mentoring peers.

The Machine Learning Scientist will build end-to-end AI/ML solutions for risk management, collaborate with teams, and drive model development.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

This role involves building and managing AI/ML solutions for risk management, collaborating with teams, and providing technical leadership.

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.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

Lead strategic relationships and drive adoption of CUDA-X software solutions. Collaborate with teams on partnerships and marketing efforts.

As a Pricing Manager, you will develop and refine pricing strategies for AI-driven security products, leverage predictive analytics, and drive operational excellence through automation, all while collaborating with cross-functional teams.

As a Product Manager, you'll lead the letter management platform development, oversee automation processes, and enhance user satisfaction through efficient workflows in healthcare communication.

The Product Marketing Manager will define the story and strategies for Agentic AI, creating messaging, programs, and materials to drive adoption and market engagement.

Design and implement machine learning algorithms for robotic manipulation, focusing on RL and IL. Collaborate across disciplines to ensure integration and successful deployment.

Join NVIDIA as an Applied Machine Learning Engineer to work on circuit design projects, data analysis, and model optimization with a focus on AI computing.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

Lead and coordinate a team to develop and optimize machine learning tools and analytics pipelines on GPUs while mentoring engineers and collaborating with product teams.

As a Senior Machine Learning Engineer, you'll develop perception modules for autonomous vehicles, focusing on scalability and adaptability across global environments. Responsibilities include collaborating on algorithms, conducting large-scale experiments, and end-to-end deployment of models.