RNNs Jobs

3 open roles mentioning RNNs

PHY Algorithms Senior Engineer - AI/ML

1mo ago
P

Parallel Wireless

Parallel Wireless is seeking experienced wireless algorithm experts to research and design advanced cellular communication algorithms for 5G and beyond products. This role will leverage neural networks and machine learning techniques to reimagine mobile networks with innovative, energy-efficient Open RAN solutions. The ideal candidate will contribute to the future of telecommunications by driving innovation through green and sustainable networks.

Kfar Saba onsite Full Time
PythonPyTorchTensorFlow +9 more

Backend Engineer- Inference Services

3mo ago
D

Deepgram

Deepgram is seeking a Backend Software Engineer to join the Engine team, focusing on the design and implementation of the company's speech processing products. This role involves building secure, robust, and scalable services for speech processing, efficient distributed compute orchestration, and optimized scheduling. The ideal candidate will possess strong skills in writing reusable code to overcome technical challenges and a good intuition for user experience. You will play a key role in the Product and Engineering teams, driving high-impact products from conception to completion. Deepgram operates with an AI-first mindset, expecting all team members to actively use and experiment with advanced AI tools, integrating them into their daily work and workflows to push technological boundaries.

$150k - $220k

USA - Remote remote FullTime
PythonRustC# +6 more

Researcher, Models

1y ago
c

cartesia

Cartesia is pioneering AI architectures that learn and interact with the world like humans. We are seeking a Researcher, Models to conduct groundbreaking research in neural network architecture design, focusing on advancing the state-of-the-art in alternative architectures such as state space models and efficient transformers. This role involves designing novel architectures to improve model quality and efficiency, exploring capabilities like long-range memory, and investigating the impact of architectural decisions on scalability and robustness. The researcher will also develop new frameworks for evaluating architectural innovations and collaborate with cross-functional teams to translate research into real-world applications.

$180k - $350k

*HQ - San Francisco, CA onsite FullTime
PyTorchTensorFlowDeep Learning +8 more

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