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

The Lead Behavior Engineer - ML will drive technical strategy for machine learning solutions related to vehicle behavior, develop models for driving behaviors, collaborate with cross-functional teams, and mentor engineers. Responsibilities include defining engineering processes, advocating for archi...

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images,...

Senior Software Engineer (LLMs, Machine Learning)Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise.Who we are:Inflection AI was re-founded in March of 2024 and our leadership team has as...

About the roleGlass Imaging is looking for a Machine Learning (ML) Infrastructure Engineer to re-design and develop the backbone of our ML training and evaluation ecosystem. As an experienced professional with a track record of success architecting solutions in this area, you will have the freedom t...

Architect and develop the compiler for Apple's Neural Engine Accelerator, optimizing it for deep learning inference. Collaborate with cross-functional teams to bring new hardware to market and ensure compiler support. Lead design and implementation of compiler features, mentor engineers, and drive i...

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology p...

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobi...

Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! This group at Apple is responsible for creating the image/vi...

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 ...