Machine Learning Jobs in Sunnyvale, CA

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

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

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.

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.

Drive and deliver initiatives to enhance developer productivity through AI-driven solutions and lead complex technical challenges in Developer Experience.

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.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

The role involves designing scalable AI/ML infrastructure, optimizing model training processes, and collaborating with teams to enhance platform capabilities.

Develop and deploy ML models to combat financial crimes. Collaborate with cross-functional teams, maintain documentation, and lead ML best practices.

The role involves leveraging advanced machine learning technologies to create models, collaborating with teams, and translating complex methodologies into business goals.

The Senior Machine Learning Engineer will build AI features, design microservices, and ensure system reliability, working with the Emerging Technology team.

Interns will engage in hands-on experience within the Carrier Ops team, work on individual and collaborative projects, and gain insights into business operations with direct visibility to the CEO.

As a Research Engineer, you will develop frameworks and technologies for safe, reliable AI agents, work on integrations, and support deployment efforts.

The role involves building scalable ETL data pipelines, dashboard development, and conducting data analysis to support social product teams.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

The Principal Data Scientist in Consumer Identity ML leads the development of machine learning models to personalize and secure customer experiences, analyzing vast datasets to improve business outcomes. Responsibilities include model creation, partnership with product teams, and advanced statistical analysis.

This role involves building and supporting a scalable ML data processing platform, overseeing technical projects, and mentoring team members.

Lead the development of a scalable ML data processing platform involving data ingestion, management, and high-throughput serving systems. Responsible for technical leadership and mentoring junior engineers.

The Principal Machine Learning Engineer will build AI/ML solutions, collaborate with engineers, ensure product security and compliance with AI regulations, and drive architectural decisions for enterprise services.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

Lead research on on-device personalization using LLMs and AI, driving innovations for ambient intelligence and enhancing user experiences through collaborative efforts.

As a Process Analyst, you'll validate AI outputs, assess process map quality, collaborate with stakeholders, and recommend improvements to products and tools.