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

Develop scalable machine learning tools for classification, clustering, topic modeling, and natural language processing. Build in-house tools and pipelines for fast experimentation and collaborate with engineers to address machine learning challenges.

About The CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection ...

Builds infrastructure for product-focused machine learning projects, including systems for indexing data, analyzing algorithm failure modes, and benchmarking models. Engages in full-stack development with an emphasis on distributed computing and user interface stability, while collaborating across t...

Responsible for building and optimizing the data engine platform, designing autolabeling systems, architecting training data pipelines, developing version-controlled datasets, creating visualization tools, and automating model updates.

Design and optimize onboard software systems for deploying large deep learning models in production vehicles, focusing on performance, power efficiency, and latency.

Design, train, and optimize AI model architectures using visual images, LiDAR, and other modalities. Collaborate with software engineers to deploy models into production, conduct research in computer vision and AI, and apply MLOps best practices for experiment tracking and training optimization.

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.