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

Company DescriptionLinkedIn’s vision is to create economic opportunities for every member of the global workforce.  It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our ...

Our MissionLaunched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to o...

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...

Our MissionLaunched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to o...

Our CompanyChanging 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, v...

Our MissionLaunched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to o...

Responsible for GPU kernel optimization, implementing strategies for distributed model training and inference, profiling system performance, leveraging parallel computing techniques, applying model quantization, developing benchmarks, collaborating with teams, and documenting optimizations.

Design and develop machine learning accelerators, collaborate with AI/ML and video codec experts, and contribute to the modeling of accelerators. Work involves silicon architecture, modeling, and performance evaluation.

You will be a member of the Inference Enablement Team and part of the bigger industry-leading PyTorch AI framework organization. We build the foundational technology and frameworks that enable and optimize state-of-the-art model architectures on new hardware. We work with many different types of mod...

Responsible for researching and developing deep learning algorithms for an end-to-end onboard model, optimizing neural network architectures for real-time execution, and scaling ML infrastructure for continuous self-improvement. Collaborates with cross-functional teams to deploy high-performance mod...