- Amazon (Cupertino, CA)
- …the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and ... software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically,… more
- Amazon (Cupertino, CA)
- …the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and ... software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically,… more
- NVIDIA (Santa Clara, CA)
- …Python programming experience with software design skills. + Experience with deep neural network (DNN) training, inference and optimization in leading frameworks ... experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You… more
- Schlumberger (Menlo Park, CA)
- …developing Machine Learning (ML) algorithms, optimization methods, and Deep Learning (DL) and Neural network libraries to optimize neural networks and train ... and evaluate different models; (2) Natural Language Processing, Computer Vision Technologies, Reinforcement learning, and semi-supervised learning; (3) Software development and programming skills with databases and ML frameworks; (4) data science development… more
- Cisco (San Jose, CA)
- …environments (including cloud and network edge); models may include adapting neural network architectures or creating novel ones to address challenges. + ... that enable our customers to stay ahead of cyberattacks, predict and prevent network outages, and make team meetings more productive. Our extensive data sets and… more
- Qualcomm (San Diego, CA)
- …systems at scale for efficient inference at Data center + Deep knowledge of neural network algorithms, trends in ML space and challenges associated with ... deployment. + Ability to drive system level analysis of GenAI models and understand associated tradeoffs on model size, performance, accuracy/quality, power and benchmarks towards defining HW/SW roadmaps + 5+ years of Product Management or related work… more
- Amazon (Cupertino, CA)
- …Your software will directly drive the execution and management of hardware accelerated neural network models deep within the SOC's Neuron Cores. You'll also ... work closely with our architecture and design teams to drive hardware/software co-design, developing both firmware and custom hardware that enables ML within our accelerator chips. Our team's charter is to make deep learning pervasive for everyday software… more
- Meta (Menlo Park, CA)
- …(PhD) Responsibilities: 1. Develop algorithms based on state-of-the-art machine learning and neural network methodologies 2. Work with and create large datasets ... 3. Conduct research to advance the science and technology of intelligent machines 4. Conduct research towards long-term ambitious research goals while identifying intermediate milestones 5. Conduct research that enables learning the semantics of data across… more
- Meta (Fremont, CA)
- …high-level intelligence. 4. Develop algorithms based on state-of-the-art machine learning and neural network methodologies. 5. Define, build and benchmark new ... capabilities needed for the next generation of AI. 6. Conduct research towards long-term ambitious research goals while identifying intermediate milestones. **Minimum Qualifications:** Minimum Qualifications: 7. Currently has, or is in the process of obtaining… more
- Meta (San Francisco, CA)
- …(PhD) Responsibilities: 1. Develop algorithms based on state-of-the-art machine learning and neural network methodologies 2. Define, build and benchmark new ... features needed for the next generation of AI 3. Work with and create large datasets 4. Conduct research to advance the science and technology of intelligent machines 5. Conduct research towards long-term ambitious research goals while identifying intermediate… more