DESIGNLIBRO INC
Benefits
401(k) 401(k) matching Competitive salary Dental insurance Health insurance Opportunity for advancement Paid time off Relocation bonus Vision insurance Wellness resources Job Summary
As an AI Engineer, you will be responsible for designing, developing, and deploying AI and machine learning models to enhance the capabilities of our consumer electronics and IoT products. You will collaborate with cross‑functional teams, including software engineers, hardware engineers, and product managers, to bring intelligent features to life. This role focuses on computer vision, vision‑language models (VLMs), large language models (LLMs), and building scalable AI serving infrastructure. Key Responsibilities
Design, develop, and optimize AI/ML models for edge computing and cloud‑based applications Train, fine‑tune, and deploy vision‑language models (VLMs) for multimodal AI applications in pet care and IoT products Develop and fine‑tune large language models (LLMs) for domain‑specific applications Build and optimize model serving infrastructure for VLM/LLM inference using frameworks like vLLM Work with large‑scale datasets to train, test, and validate AI models, including multimodal datasets (text, images, video) Collaborate with software and firmware engineers to integrate AI models into embedded systems and mobile applications Optimize AI algorithms for efficiency, power consumption, and real‑time performance in resource‑constrained environments Implement batching, caching, quantization (INT8, INT4), and other optimization techniques to reduce inference costs Stay updated with the latest AI/ML advancements and research to apply innovative solutions to our products Develop and maintain documentation, including model architecture, training procedures, and performance benchmarks Support the deployment and monitoring of AI models in production environments Qualifications & Skills
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field 2+ years of experience in AI/ML development, preferably in the consumer electronics or IoT industry Proficiency in programming languages such as Python and C++ Experience with AI/ML frameworks such as PyTorch, Hugging Face Transformers Strong background in computer vision, deep learning, large language models (LLMs), or vision‑language models (VLMs) Experience with LLM/VLM fine‑tuning techniques Familiarity with model serving and inference optimization frameworks (vLLM, TensorRT, ONNX Runtime) Experience with embedded AI and edge computing frameworks (e.g., ONNX, TensorRT) Knowledge of data processing pipelines, model training, and hyperparameter tuning Familiarity with cloud AI services (AWS SageMaker, Google Cloud AI, Azure AI) and MLOps practices Understanding of model compression techniques including quantization, pruning, and distillation Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment Excellent verbal and written communication skills Preferred Qualifications
Experience developing AI applications for smart home devices, wearables, or industrial IoT Hands‑on experience with multimodal AI systems combining vision and language Experience building production LLM/VLM serving infrastructure with high throughput and low latency requirements Understanding of distributed training and inference for large models Understanding of sensor fusion, signal processing, and real‑time analytics Knowledge of AI ethics, privacy, and security considerations in IoT applications Experience with deployment tools such as Docker, Kubernetes, and CI/CD pipelines Why Join Us?
Work on cutting‑edge AI technologies including VLMs and LLMs for next‑generation consumer electronics and IoT products Collaborate with a passionate and talented team in a fast‑growing company Competitive salary, stock options, and benefits package Opportunities for professional development and career growth Access to GPU resources and cloud infrastructure for model training and research If you are an AI enthusiast who thrives on innovation and wants to shape the future of smart pet care devices with cutting‑edge VLM/LLM technology, we'd love to hear from you! Apply now and be part of our exciting journey.
#J-18808-Ljbffr
401(k) 401(k) matching Competitive salary Dental insurance Health insurance Opportunity for advancement Paid time off Relocation bonus Vision insurance Wellness resources Job Summary
As an AI Engineer, you will be responsible for designing, developing, and deploying AI and machine learning models to enhance the capabilities of our consumer electronics and IoT products. You will collaborate with cross‑functional teams, including software engineers, hardware engineers, and product managers, to bring intelligent features to life. This role focuses on computer vision, vision‑language models (VLMs), large language models (LLMs), and building scalable AI serving infrastructure. Key Responsibilities
Design, develop, and optimize AI/ML models for edge computing and cloud‑based applications Train, fine‑tune, and deploy vision‑language models (VLMs) for multimodal AI applications in pet care and IoT products Develop and fine‑tune large language models (LLMs) for domain‑specific applications Build and optimize model serving infrastructure for VLM/LLM inference using frameworks like vLLM Work with large‑scale datasets to train, test, and validate AI models, including multimodal datasets (text, images, video) Collaborate with software and firmware engineers to integrate AI models into embedded systems and mobile applications Optimize AI algorithms for efficiency, power consumption, and real‑time performance in resource‑constrained environments Implement batching, caching, quantization (INT8, INT4), and other optimization techniques to reduce inference costs Stay updated with the latest AI/ML advancements and research to apply innovative solutions to our products Develop and maintain documentation, including model architecture, training procedures, and performance benchmarks Support the deployment and monitoring of AI models in production environments Qualifications & Skills
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field 2+ years of experience in AI/ML development, preferably in the consumer electronics or IoT industry Proficiency in programming languages such as Python and C++ Experience with AI/ML frameworks such as PyTorch, Hugging Face Transformers Strong background in computer vision, deep learning, large language models (LLMs), or vision‑language models (VLMs) Experience with LLM/VLM fine‑tuning techniques Familiarity with model serving and inference optimization frameworks (vLLM, TensorRT, ONNX Runtime) Experience with embedded AI and edge computing frameworks (e.g., ONNX, TensorRT) Knowledge of data processing pipelines, model training, and hyperparameter tuning Familiarity with cloud AI services (AWS SageMaker, Google Cloud AI, Azure AI) and MLOps practices Understanding of model compression techniques including quantization, pruning, and distillation Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment Excellent verbal and written communication skills Preferred Qualifications
Experience developing AI applications for smart home devices, wearables, or industrial IoT Hands‑on experience with multimodal AI systems combining vision and language Experience building production LLM/VLM serving infrastructure with high throughput and low latency requirements Understanding of distributed training and inference for large models Understanding of sensor fusion, signal processing, and real‑time analytics Knowledge of AI ethics, privacy, and security considerations in IoT applications Experience with deployment tools such as Docker, Kubernetes, and CI/CD pipelines Why Join Us?
Work on cutting‑edge AI technologies including VLMs and LLMs for next‑generation consumer electronics and IoT products Collaborate with a passionate and talented team in a fast‑growing company Competitive salary, stock options, and benefits package Opportunities for professional development and career growth Access to GPU resources and cloud infrastructure for model training and research If you are an AI enthusiast who thrives on innovation and wants to shape the future of smart pet care devices with cutting‑edge VLM/LLM technology, we'd love to hear from you! Apply now and be part of our exciting journey.
#J-18808-Ljbffr