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python tensorflow pytorch on-device📋 Description
- Architect and develop secure, on-device AI solutions for model improvement.
- Collaborate with scientists to design edge-distributed training techniques.
- Implement on-device monitoring for continuous model improvement.
- Develop model compression techniques to enable AI at the edge.
- Apply state-of-the-art methods to improve fairness, performance, and scalability.
🎯 Requirements
- Bachelor's Degree in CS/Engineering/Physics/Math or equivalent
- 10+ years software engineering; large-scale distributed platforms
- AI on chips; on-device deployment and management
- Python, C++, and ML frameworks like TensorFlow or PyTorch
- Advanced knowledge of on-chip development
- Strong problem solving; architecture, performance, deployments
- Comfortable communicating with scientists, engineers and PMs
- Master’s Degree in CS/Engineering/Physics/Math or related field (Preferred)
🎁 Benefits
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
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