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About the Role
Design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center.
Responsibilities
- Design, optimize, and deploy machine learning models for edge devices.
- Ship reliable AI capabilities outside the data center.
- Optimize models for compute, memory, energy, and connectivity constraints.
- Deploy ML models to production on mobile or embedded platforms.
- Communicate and collaborate cross-functionally.
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.
Skills
- Python
- C++
- Model compression
- Quantization
- Pruning
- Edge inference frameworks
- Mobile and embedded hardware architectures
- Performance engineering
- Profiling
- On-device privacy
- On-device security
- Custom NPU or DSP toolchains
- Federated learning
- On-device personalization
- Safety-critical edge deployments
- Industrial edge deployments
- LLM optimization for on-device inference
Location
- 100% Remote (U.S.)
Work Type
- Full-time
- Direct W2
Experience Level
- 6+ years
Education Level
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
Salary/Compensations
- $135,000–$155,000 Annually
About the Company
- Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
- This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Equal Opportunity
- Bright Vision Technologies is an Equal Opportunity Employer
- Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.
- This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
- BV Teck expressly prohibits any form of workplace harassment or discrimination.
- Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.