Machine Learning Jobs in San Jose, CA

As a Senior AI/ML Engineer, you will design and deploy advanced machine learning models for autonomous vehicles, collaborate with teams, mentor engineers, and drive innovation in onboard ML systems.

As a Software Engineering Intern, you'll solve engineering challenges, develop software, and learn about distributed systems alongside a mentor, focusing on real problem-solving.

Lead engineering initiatives in Responsible AI, collaborate on bias mitigation in ML applications, mentor engineers, and define technical strategy.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.

Data Scientist at Tapestry utilizes analytical excellence to interpret large datasets, providing insights for better decision-making and efficiency in energy operations.

The role involves developing and deploying perception and deep learning models for autonomous driving, optimizing data pipelines, and conducting research in perception algorithms.

Lead a development team to prevent collision scenarios in autonomous vehicles, focusing on safety-critical systems through innovative algorithm and validation strategies.

The Principal Product Manager will oversee the strategy and execution of initiatives in AP and Expense Automation, collaborating with teams to innovate AI-driven financial operations for enterprises.

The Onsite Lead Tester is responsible for linguistic quality at an account level, coordinating the linguistic team, client engagement, and managing linguistic assets.

The Research Scientist will explore AI/ML research questions, collaborate across functions, publish in top venues, and lead impactful initiatives in Machine Learning and Inference Research.

The role involves architecting solutions across multiple services, building scalable systems, and engaging in all software development aspects, with a focus on Generative AI and ML infrastructure.

As an intern at Adobe Research, you will tackle research problems, develop algorithms, run experiments, and present your findings under a mentor's guidance.

The intern will conduct research on AI's impact on HR, analyze data for improving manager experiences, and design personalized journey prototypes.

The Staff Machine Learning Systems Researcher will model performance of Lightmatter systems, collaborate on designs, publish research, and stay updated on ML advancements.

The role involves implementing AI applications, collaborating with hardware architects, optimizing algorithms, and researching emerging AI technologies to improve engineering workflows.

The role involves understanding datacenter applications, developing GPU product proposals, and collaborating cross-functionally for product marketing and sales strategies.

The Senior Solutions Consultant will provide thought leadership, align technical solutions with customer needs, and promote Workato's AI capabilities during the pre-sales process.

The Senior Solutions Consultant will engage with customers to advocate Workato's AI capabilities, support presales activities, conduct technical workshops, and drive product adoption.

The role involves setting up machine learning models, creating data repositories, extracting geometric features, and optimizing geometries for quality improvements in print processes.

Join Applied Intuition as an AI Research Scientist or Engineer to advance E2E autonomy and develop software for intelligent vehicles.

The Product Manager will scale data collection products, develop roadmaps, and optimize data workstreams for Waymo's autonomous driving technology.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

The Principal Detection Engineer will develop and implement advanced threat detection systems using AI and ML technologies, optimize detection models, and collaborate across teams to enhance cybersecurity efforts.

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.