Role OverviewJoin Bright Vision Technologies as an AI Systems Engineer to design, optimize, and deploy machine learning models on resource-constrained edge devices. The ideal candidate has shipped edge AI in production environments and has expertise in model compression, quantization, and hardware-aware optimization.
What You Will Do
Design, optimize, and deploy machine learning models on edge devices, including mobile platforms, embedded systems, and specialized accelerators.
Why It Might Be a Fit
This role offers tremendous career growth potential and requires strong systems engineering skills to ship reliable AI capabilities outside the data center.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI.
- Strong proficiency in Python and C++.
- Hands-on experience with model compression, quantization, and pruning techniques.
- Experience with at least one major edge inference framework.
- Solid understanding of mobile and embedded hardware architectures.
- Experience deploying ML models to production on mobile or embedded platforms.
- Strong performance engineering and profiling skills.
- Familiarity with on-device privacy and security considerations.
- Strong communication and cross-functional collaboration skills.
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Paid time off
- Retirement plan
- Stock options
- Flexible work arrangements
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