CNNs Jobs
6 open roles mentioning CNNs
PHY Algorithms Senior Engineer - AI/ML
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.
Backend Engineer- Inference Services
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
Member of Technical Staff (Machine Learning Engineer)
Reka AI
Reka is a foundation model startup building useful multimodal artificial intelligence to empower organizations and businesses. We are a globally distributed team headquartered in the San Francisco Bay Area, embracing a remote-first approach. Our mission is to advance AI for meaningful applications, and we are looking for a talented Machine Learning Engineer to join our elite team. You will translate cutting-edge research into production-ready machine learning systems, design, build, and deploy end-to-end ML models and pipelines, and own the full ML lifecycle from experimentation to deployment. This role offers a massive market opportunity within a rapidly growing industry, allowing you to make a significant impact.
Research Engineer, Multimodal Data
Eventual
Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract signals about how hands and objects interact, temporal events, and data reliability. These signals are used by leading Physical AI labs and robotics teams to select training data for their models. The work involves large-scale data systems, computer vision, and ML research, with a direct impact on frontier model training. The company is a small, well-backed team with experience from major tech companies, aiming to build the foundation for the next generation of Physical AI. As a Research Engineer on the Visual Understanding team, you will be responsible for making petabytes of video data queryable by content. This involves defining the roadmap for visual understanding capabilities, training and selecting models for corpus-scale annotation, and building rich datasets for customer models. This is an applied research role where you will conduct experiments, ship to production, and directly influence customer models and robots.
$150k - $300k
Senior Applied Research Scientist - Foundation Models
Ambient.ai
Ambient.ai is seeking a Senior Applied Research Scientist to develop the next generation of foundation models for computer vision. This role involves full-cycle model development, from pre-training and fine-tuning on image-language data to applying distillation and compression techniques for deployment. You will work on multimodal models with state-of-the-art performance, directly impacting our mission to prevent security incidents. This is a hands-on, cross-functional position requiring collaboration with engineering and product teams.
$180k - $230k
Researcher, Models
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