Machine Learning Jobs in San Jose, CA

Conduct research on autonomous systems, collaborate on publications, and develop industry-leading models for AI-driven vehicles.

This role involves leading product vision and strategy for AI-powered security solutions aimed at small businesses, focusing on fraud prevention and collaboration with cross-functional teams.

The AI Software Engineer will develop and implement AI solutions for Tencent's overseas game studios, focusing on improving efficiency through various AI technologies.

The Staff ML Engineer will design cloud-agnostic ML compute platforms, collaborate with teams, ensure efficient model deployment, and lead technical initiatives.

The Senior AI/ML Tooling Engineer will develop tools for analyzing ML model performance, collaborating with engineering teams, and optimizing training and inference.

Lead end-to-end machine learning solutions for autonomous driving, mentor engineers, design advanced models, and ensure safety and reliability in diverse scenarios.

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.

Lead the integration and maintenance of autonomous forklifts at customer sites, providing customer support and optimizing system performance with significant travel requirements.

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.

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

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 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.