Computer Vision/Machine Learning Engineer

apartmentGlint Tech Solutions LLC placeSan Jose business_center$150,000 - $200,000/year calendar_month 

About the Role

We are looking for a Computer Vision / Machine Learning Engineer to join a fast-growing, product-driven team working on real-world AI applications.

This role focuses on building and optimizing lightweight visual models for production environments, with strong emphasis on performance, efficiency, and deployment.

What You'll Do
  • Model Selection
Choose the most suitable approaches (traditional algorithms vs. deep learning) based on real-world use cases and constraints
  • Performance Optimization
Optimize models by balancing accuracy, latency, memory, and power consumption
  • Model Training & Compression
Train and optimize lightweight models using techniques such as quantization, pruning, and knowledge distillation
  • Deployment & Optimization
Deploy models to production environments (mobile/edge), ensuring low latency and high efficiency
  • End-to-End Ownership
Drive the full lifecycle from data analysis model development optimization deployment
  • Application Performance

Improve overall application responsiveness and resource usage to ensure smooth user experience

Requirements

Education
  • Bachelor's degree with 3+ years of experience, OR
  • Master's degree with 1+ year of experience, OR
  • PhD in a related field
Technical Skills
  • Strong foundation in Computer Vision and Machine Learning
  • Experience with model optimization for production (latency, memory, power trade-offs)
  • Hands-on experience with lightweight model deployment (e.g., ONNX, TFLite, CoreML)
  • Experience with model compression techniques (quantization, pruning, distillation)
  • Solid programming skills (Python + ML frameworks such as PyTorch or TensorFlow)
Experience
  • Experience building and deploying models in real-world production environments
  • Familiar with edge/mobile AI scenarios or performance-constrained systems
Soft Skills
  • Strong problem-solving ability and ownership mindset
  • Comfortable working in a fast-paced, high-growth environment
  • Able to independently drive projects end-to-end
Nice to Have
  • Experience with mobile/edge deployment (iOS / Android)
  • Experience optimizing models for real-time applications
  • Background in performance-critical systems
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