Edge ML Engineer

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design, optimize, and deploy machine learning models for resource-constrained edge devices.
• Develop edge AI capabilities for mobile platforms, embedded systems, and specialized accelerators.
• Apply model compression, quantization, pruning, and hardware-aware optimization techniques.
• Deploy reliable ML models to production on mobile and embedded platforms.
• Profile and optimize performance under compute, memory, energy, and connectivity constraints.
• Collaborate cross-functionally to deliver production-ready edge AI systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 6+ years of ML engineering experience, including significant work with edge or mobile AI.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, and pruning.
• Experience with at least one major edge inference framework.
• Understanding of mobile and embedded hardware architectures, production deployment, performance profiling, and on-device privacy and security.

Nice to have

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

Culture & Benefits

• Full-time direct W2 employment.
• Fully remote work within the United States.
• Opportunity for career growth within an established technology consulting organization.
• Work on cloud, AI, data, and enterprise solutions.

Hiring process

• Submit a resume for consideration by email or phone.