Machine Learning Jobs in San Jose, CA

Lead the strategy and execution of AI-driven shopping experiences, focusing on agentic AI. Collaborate cross-functionally to enhance user experiences and leverage AI technology for business growth.

Lead the architecture and development of backend systems at PayPal, driving innovation and performance while mentoring other engineers. Responsible for technical decisions that impact multiple teams and initiatives.

Research scientist specializing in robotics and AI, focusing on developing algorithms, conducting research, and implementing learning-based manipulation and control methods.

The role involves leading data science projects to develop risk models and fraud prevention strategies. Responsibilities include analyzing data, collaborating with teams, ensuring data quality, and mentoring junior scientists.

In this role, you will design, develop, and implement VoIP infrastructure, integrate LLMs into voice platforms, and enhance AI-driven workflows while collaborating with various engineering teams.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

As a Software Solutions Architect at NVIDIA, you'll deploy AI solutions, collaborate with technical teams, integrate software, diagnose customer issues, and develop new tools for data science.

Develop and optimize lightweight machine learning models for edge AI applications, integrating into production systems and mentoring junior engineers.

Oversee strategic direction of machine learning projects, collaborate with teams, develop models, ensure data quality, and mentor staff.

The Technical Sourcer will collaborate with hiring managers to identify talent for AI and engineering roles, engage candidates, and improve sourcing strategies.

The role involves defining technology transfer roadmaps, establishing integration processes, analyzing data for yield improvement, and mentoring team members in semiconductor manufacturing.

The Director of Product for Data Flywheel will lead the roadmap for data initiatives, ensuring quality and compliance across various engineering teams and initiatives. Responsibilities include managing data metrics, supporting data pipelines, and collaborating across teams to enhance infrastructure.

Design scalable data analytics platforms, make architectural decisions, collaborate with analysts, mentor developers, and assess technologies for a Big Data Platform.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Data Engineer will gather and process data, analyze trends, support business decisions, and collaborate on predictive models while improving algorithms and efficiency.

The role involves improving demand forecast accuracy, implementing ML models, and collaborating with various teams to analyze market trends.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, ensure model performance, and build cloud-based infrastructures.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

Manage external partnerships for business development in semiconductor industry, guide processes, oversee program management, and communicate with strategic partners.

Design, implement, test, deploy, and operate scalable, cloud-native backend systems. Mentor junior engineers, advise on technical decisions, ensure high availability, resilience, security, observability, and integrate ML models where applicable.

Design, develop, and implement machine learning models and algorithms. Collaborate with cross-functional teams to deploy scalable ML solutions and analyze large datasets for insights.

Lead the product strategy for payment processing optimization, collaborating with stakeholders to enhance authorization rates and improve customer experiences. Manage initiatives across various teams, drive data-informed decisions, and maintain profitable product metrics.

Lead the strategy and development of AI-driven shopping experiences, focusing on intelligent digital agents for commerce. Collaborate across teams for innovation in automated shopping and ensure data privacy and ethical AI practices.

Lead Safety Architect for autonomous vehicles, focusing on safety architecture, metrics, analysis, and collaborative processes for software delivery and safety standards.

Develop and integrate Machine Learning and Computer Vision algorithms for autonomous vehicles. Collaborate to manage large datasets and enhance detection features.