Develop state-of-the-art AI products by improving training algorithms, integrating multimodal LLMs, and designing new model architectures. Focus on creating accurate, efficient AI for embedded devices, shipping features to millions of cameras. Requires 5+ years of Python experience, proficiency in ML frameworks, and strong computer vision/multimodal LLM expertise.
Key Highlights
Develop and deploy advanced AI models for embedded devices, focusing on accuracy and efficiency.
Work with multimodal LLMs and Tiny AI software to create innovative AI features for camera devices.
Contribute to all stages of the AI development lifecycle, from data pipeline to model architecture and training.
Key Responsibilities
Improve training algorithms and integrate multimodal LLMs.
Build and optimize data pipelines for AI model training.
Design new model architectures and utilize established ML approaches.
Develop clever algorithms for novel AI problems.
Build new AI features that will be shipped to millions of camera devices.
Use and improve multimodal LLMs to achieve new functionality and optimize deployments.
Train and design more accurate models for low-cost and low-power hardware.
Enable new and more complex AI applications on low-cost and low-power hardware.
Improve data pipeline, model architectures, and training software.
Use Kubernetes cluster to deploy PyTorch and TensorFlow training jobs.
Utilize Snowflake and Dataflow to build datasets.
Prototype new demos using tools like Streamlit.
Use GPUs on GCP for training new models and auto-labeling data.
Technical Skills Required
Python
PyTorch
TensorFlow
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
Benefits & Perks
Competitive salary
Generous equity stake
Relocation assistance and visa sponsorship
Choose your own laptop and equipment
25 days of paid vacation
Ability to attend top research conferences
Interested in relocating to Netherlands? Check out our comprehensive Relocation Jobs in Netherlands page with detailed relocation packages and benefits.
Nice to Have
Industry experience with efficient inference deployments (cloud or edge).
Experience with Deep Reinforcement Learning.
Job Description
At Plumerai, we make it easy and affordable for developers to add highly accurate AI to their camera devices, enabling them to create amazing new products. Major brands deploy our advanced computer vision models on millions of smart home cameras in the field and we're rapidly expanding into other sectors, such as commercial security, elderly care and retail. We combine our on-device Tiny AI software with our cloud-based Vision Language Models, to provide our customers with powerful AI features, including People Detection, Video Search, Familiar Face Identification, AI Captions and more. We prioritize on-device inference, to enable low-power, super-efficient and private AI products. Plumerai leads on accuracy, even when compared to large players, such as Google Nest.
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.
