164 results for Machine Learning Engineer Jobs in Mountain View, CA, US

Develop technologies to accelerate training and inference of AI models for autonomous driving. Responsibilities include identifying applications for autonomous driving problems, performing optimization for compute architectures, collaborating with hardware and software teams, applying model optimiza...

Responsible for overseeing the analysis of complex datasets, leading the development and implementation of models and algorithms, supervising data analysis activities, ensuring efficient software code deployment, anticipating risks in ML solutions, and communicating complex issues to senior manageme...

Responsible for designing and developing ML models for a perception system in autonomous driving, leading projects, collaborating with teams, and optimizing models for performance in production environments.

Responsible for applying machine learning techniques to enhance recommendation models, developing algorithms for optimization, working with large datasets to improve recommendations, and collaborating with engineering teams to integrate ML models into systems.

Job DescriptionWe are seeking a skilled and innovative Machine Learning Engineer to join our cybersecurity team. As a mid-senior level engineer, you will work closely with data scientists, cybersecurity analysts, and software developers to design, develop, and deploy machine learning models that ass...

Company OverviewDyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation m...

Contribute to the Inference Enablement Team by developing foundational technology and frameworks for optimizing model architectures on diverse hardware platforms, including CPU, GPU, and custom Silicon. Engage in building model publishing frameworks at scale for various applications such as Ads and ...

Responsible for building and augmenting Machine Learning models for computer vision, updating and scaling ML pipelines, implementing models using Pytorch and Tensorflow, and optimizing performance. Involves end-to-end processes from data gathering to model deployment and troubleshooting.

Responsible for building AI-based services and platforms for machine learning, designing scalable distributed platforms, collaborating with cross-functional teams, and ensuring operational readiness of services. The role requires leadership in ML developer tools and a passion for AI/ML infrastructur...

Role descriptionIn the same way image generators have shown the remarkable ability to produce a diverse set of realistic pictures conditioned on a text prompt (and other inputs), we are developing a generative model that produces 3D geological models conditioned on geophysical surveys, bore hole mea...