Machine Learning Jobs in Sunnyvale, CA

Design and develop software solutions for semiconductor equipment, lead projects, troubleshoot software issues, and interact with customers for requirement analysis.

Lead the Trucking Autonomy team to develop behavior systems for L4 autonomous trucks. Oversee strategy, architecture, and team management.

Develop high-performance planning modules for autonomous vehicles, collaborate with customers, and apply modern software practices in a team-oriented environment.

The Director of Product Management will lead product strategy for robotics, drive product roadmap execution, and enhance AI integration in robotic systems.

Lead ML engineering efforts for behavior planning in autonomous vehicles, develop complex models, mentor teams, and advance state-of-the-art technology.

Design and build core backend services for a cloud-agnostic ML compute platform. Integrate with GPU hardware and orchestration, improve performance, scalability, reliability, and drive large cross-team initiatives to support ML training and deployment.

Lead product development initiatives focused on cybersecurity, defining product requirements, collaborating with engineering teams, and driving adoption of security products.

The Research Scientist will lead hands-on research in Conversational AI, advocate for new AI applications, mentor junior researchers, and contribute to publications.

The role involves creating strategies to leverage AI for sustainability, building partnerships, drafting communication, and synthesizing complex data into accessible content for various audiences.

Lead a team of engineers to enhance AI-powered search relevance through machine learning. Oversee model development, project management, and team growth while collaborating across departments.

As the Engineering Director, you will lead teams developing content generation features for the Gemini App, integrating generative AI capabilities, and driving product innovation and daily usage.

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

Conduct research on autonomous systems, collaborate with scientists on publications, and improve robotic models using large-scale data.

As a New Grad Software Engineer, you will architect and prototype solutions, contribute to essential infrastructure, and tackle complex AI challenges in a small team.

Lead and scale Product Marketing for DataVisor's fraud and AML platform: set GTM strategy, positioning, launches, competitive intelligence, enablement, segmentation, metrics, and build a high-performing PMM team while partnering cross-functionally to drive adoption and revenue.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

Lead initiatives across Modeling, Data, Evaluations, and User Signals, managing data lifecycle and collaborating with research teams to enhance AI models.

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

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.

The role involves improving search-based question answering systems using traditional machine learning and generative AI, leading a team of engineers, and developing algorithm frameworks for conversational search applications.

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.

Lead the design and implementation of VoIP integrations, build AI-powered services, ensure platform performance, mentor colleagues, and improve software quality.

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.