Machine Learning Jobs in Santa Clara, CA

The role involves advancing on-device AI optimization through techniques like quantization and pruning, collaborating with engineers, and developing efficient model deployment methods.

The Senior Machine Learning Engineer will enhance HP's retrieval systems and recommendation algorithms, focusing on AI-driven user interactions and system performance improvements.

The ML Ops Engineer will manage machine learning lifecycle, infrastructure automation, monitoring, and compliance for AI systems to ensure operational reliability.

Lead and develop a team of ML engineers and data scientists, guiding the creation of ML solutions with advanced techniques in AI, focusing on user-friendly systems.

Develop innovative perception autolabeling ML models for autonomous driving, leading projects and collaborating with multidisciplinary teams to enhance ADAS technology.

The Machine Learning Scientist will design experiments, analyze AI model behaviors, and develop metrics to improve model evaluation, collaborating closely with engineers and product teams.

Lead open-source research in AI, design experiments, develop methodologies, and analyze data to enhance model evaluation and transparency.

Lead the design and development of scalable, high-performance real-time data and API infrastructure to support AI applications. Mentor engineers, ensure system reliability, and collaborate across teams.

Lead a team of Computer Vision and Machine Learning engineers, oversee architecture and development of models, manage training pipelines, and implement the latest research.

The Senior/Staff Machine Learning Engineer will design machine learning solutions for robotics, focusing on task planning, model performance, and system integration across various teams.

Lead the ML training infrastructure team to optimize distributed training and enhance performance tools for accelerated self-driving models.

Design and implement scalable ML systems, optimize models for production, and collaborate with teams to develop AI applications.

Lead a team of Machine Learning Research Scientists to advance deep learning and LLM integration in adtech solutions. Responsibilities include overseeing model design, enhancing algorithms, mentoring staff, and maintaining active participation in the development process.

Develop and optimize machine learning compilers for autonomous driving models on general purpose GPUs, enhancing performance and efficiency.

The Staff Product Manager will enhance the AI/ML platform, focusing on feature engineering and model training while collaborating with cross-functional teams to deliver cutting-edge solutions.

Lead the development of an AI-powered analytics platform focusing on data systems, ML, and natural language interfaces to enhance cloud security.

Lead the development of machine learning models for web security, focusing on WAF capabilities, while collaborating with cross-functional teams and staying updated on security trends.

The Lead ML Software Development Engineer will design, develop, and maintain innovative GenAI applications, ensuring high-quality user experiences. Responsibilities include collaboration with product teams and integrating new technologies.

The role involves co-designing hardware instructions and optimizing transformer model operations for AI chip performance, collaborating across software and hardware teams.

Responsible for improving Zoox's HPC infrastructure, optimizing cloud/storage systems for ML workloads, designing APIs, and investigating distributed paradigms.

Design and develop auto-labeling algorithms for autonomous driving, collaborating with ML engineers to enhance data quality and efficiency in model training.

The role involves developing cloud solutions and enhancing ML/AI pipelines, ensuring service availability, and automating deployments in a scalable environment.

Lead a team of ML engineers in designing, building, and maintaining a robust ML platform, focusing on scalability, reliability, and innovation.

Design and implement ML compilers, optimize for deep learning applications, collaborate on hardware integration, and contribute to documentation.

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.