Edge ML Engineer

Bright Vision Technologies; Alpharetta (GA); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies seeks an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on edge devices such as mobile and embedded systems. You will leverage model compression, quantization, and hardware-aware optimization to meet energy and compute constraints.

The ideal candidate has 6+ years of ML engineering experience, strong Python and C++ skills, and a track record of deploying edge AI in production while collaborating across teams.

Qualifications

• Bachelor’s or Master’s degree in CS/CE or related field.
• 6+ years of ML engineering experience, with edge or mobile AI work.
• Strong proficiency in Python and C++.
• Hands-on model compression, quantization and pruning.
• 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/embedded platforms.
• Strong performance engineering and profiling skills.
• Familiarity with on-device privacy and security considerations.
• Strong cross-functional collaboration and communication.

Responsibilities

• Design, optimize, and deploy ML models for edge devices.
• Lead hardware-aware optimization and quantization efforts.
• Collaborate with software and hardware teams to ship production edge AI.

Skills

Python

C++

Edge ML

Model compression

Education

Bachelor's or Master's in CS/CE

Tools

Edge inference framework

Job description

Job Title

Edge ML Engineer

Location

100% Remote (U.S.)

Position Type

Full-time, Direct W2

Salary Range

$100,000–$150,000 Annually

Experience Required

6+ years

Job Summary

We are looking for an Edge ML Engineer to 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. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade‑offs.

Required Qualifications

• 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.

Preferred Qualifications

• Experience with custom NPU or DSP toolchains.
• Familiarity with federated learning or on-device personalization.
• Exposure to safety-critical or industrial edge deployments.
• Open‑source contributions to edge AI frameworks.
• Experience optimizing LLMs for on‑device inference.

Equal Employment Opportunity (EEO) Statement

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.