AI Research Engineer

📋 Description

• • Plumerai is at the forefront of enabling developers to seamlessly integrate highly accurate Artificial Intelligence into their embedded devices, empowering them to create groundbreaking new products. Our innovative approach combines on-device Tiny AI software with sophisticated cloud-based multimodal Large Language Models (LLMs). This powerful synergy enables a suite of advanced AI features, including precise People Detection, efficient Video Search, accurate Familiar Face Identification, and intelligent AI Captions, among others.
• • Major enterprises are already deploying our cutting-edge computer vision models across millions of smart home cameras in the field. We are experiencing rapid expansion, extending our reach into critical sectors such as commercial security, retail analytics, and assisted living solutions. Our core philosophy centers on maximizing on-device processing to deliver AI products that are not only low-power and highly accurate but also prioritize user privacy. Plumerai is a leader in this domain, consistently demonstrating superior accuracy, even surpassing established players like Google Nest.
• • We are now embarking on a significant investment phase focused on market adoption and scaling our impact. Our commitment to building the most accurate and efficient AI solutions is underpinned by a strategy of vertical integration across the entire technology stack. This encompasses everything from meticulous data collection and curation, the development of custom training software, the design of novel model architectures, the creation of multimodal LLMs, to the intricate processes of pre- and post-processing, and finally, the optimization of the fastest possible inference engines.
• • Our team possesses a profound theoretical understanding of all these critical components, coupled with a proven ability to ship products rapidly and frequently. We foster an environment where innovation thrives, and practical application is paramount. This role offers a unique opportunity to contribute to the development of AI that will be embedded in millions of devices, shaping the future of intelligent hardware.
• • As a Senior AI Research Engineer, you will play a pivotal role in advancing our state-of-the-art AI products. Your responsibilities will span a wide spectrum, including enhancing our sophisticated training algorithms, developing and integrating advanced multimodal LLMs, contributing to the robustness of our data pipeline, and architecting novel model designs. You will also leverage established Machine Learning approaches and devise ingenious algorithms to tackle complex challenges.
• • A key aspect of your work will involve optimizing the synergy between our Tiny AI capabilities and multimodal LLMs to unlock new functionalities for our customers. You will be instrumental in refining these models for both cloud and edge deployments, ensuring peak performance and efficiency.
• • We specialize in creating remarkably compact deep learning models, with our smallest computer vision model boasting a memory footprint of just 1MB. You will be tasked with training and designing models that not only achieve higher accuracy but also enable the deployment of new, more complex AI applications on resource-constrained, low-cost, and low-power hardware.
• • Your contributions will extend to improving our data pipeline, refining model architectures, and enhancing our training software. While we stay abreast of relevant academic literature, the unique challenges we address often necessitate novel approaches and clever, innovative solutions.
• • You will utilize our robust infrastructure, including a Kubernetes cluster for PyTorch and TensorFlow training jobs, Snowflake and Dataflow for sophisticated dataset construction, and tools like Streamlit for rapid prototyping of new demonstrations. Extensive GPU resources on Google Cloud Platform (GCP) will be available for training new models and automating data labeling processes.
• • This role is ideal for an individual passionate about pushing the boundaries of AI research and development, with a desire to see their work deployed at a massive scale and make a tangible impact on the products used by millions worldwide. You will be part of a dynamic, well-funded company backed by world-class investors, contributing to the next generation of intelligent embedded systems.