AI Engineer [32711]

Stealth Startup; San Jose (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Professional development opportunities

Access to GPU resources

Job summary

A leading tech company in San Jose is seeking an AI Engineer to design and deploy AI models for consumer electronics and IoT. You will work with cross-functional teams to enhance product features. Ideal candidates will have a degree in Computer Science and experience in AI/ML development. The role offers competitive salary, stock options, and benefits, along with opportunities for professional growth.

Qualifications

• 2+ years of experience in AI/ML development, preferably in consumer electronics.
• Familiarity with cloud AI services (AWS SageMaker, Google Cloud, Azure AI).
• Experience with embedded AI and edge computing frameworks.

Responsibilities

• Design and develop AI models for edge computing.
• Collaborate with teams to integrate AI models into systems.
• Optimize AI algorithms for real-time performance.

Skills

Proficiency in Python

Proficiency in C++

Strong background in computer vision

Deep learning experience

Understanding of model compression techniques

Knowledge of AI ethics in IoT

Education

Bachelor's or Master's degree in Computer Science

Tools

PyTorch

Hugging Face Transformers

vLLM

TensorRT

ONNX Runtime

Job description

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.