Machine Learning Jobs in Visalia, CA

Lead and develop a team to investigate and mitigate fraud risks, collaborating with various departments to improve controls and processes. Drive innovation in risk management through analytical skills and machine learning model enhancement.

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

Lead the transformation of finance technology, focusing on architecture, strategy, and innovative AI-driven solutions to optimize financial processes.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

The Staff Software Engineer in Conversion ML will design and implement ML pipelines, develop software, monitor models, and collaborate with a team of engineers.

As Product Lead, you'll enhance dispute resolution for Cash App, leading cross-functional teams to improve customer trust, compliance, and operational efficiency.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

Lead the BNPL product strategy focusing on inclusion and transparency in credit systems. Collaborate across teams to build a seamless user experience and ensure regulatory compliance.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

As Product Lead for Engagement, you will define strategies to increase seller engagement, optimize usage of products, and collaborate across teams to enhance seller experiences.

Lead initiatives to enhance dispute resolution and scam protection for Cash App users, ensuring compliance and improving customer trust.

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

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

Design and maintain ML pipelines, build data ingestion tools, collaborate with data teams, ensure data quality, and solve technical challenges in a fast-paced environment.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

Develop and deploy ML models to combat financial crimes. Collaborate with cross-functional teams, maintain documentation, and lead ML best practices.

The Consulting Systems Engineer will provide pre-sales technical consultation, collaborate with sales teams, design networking solutions, and foster customer relationships while staying abreast of industry innovations.

The New Business Sales Director will build a new client base for CTV products, focusing on web-first advertisers, manage sales cycles, and leverage existing relationships.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.

The Senior Machine Learning Modeler will develop machine learning solutions to assess financial crimes risk, collaborate with teams, and drive innovation in financial crime detection.