ZipRecruiter

Log In

1

Manager Edge Ai Machine Learning Jobs (NOW HIRING)

OVA.Work

Edge AI Engineer

$134K - $177K/yr

... and machine learning models on edge devices. The role focuses on building low-latency, power ... updates, and device lifecycle management. • Build APIs and edge services for AI-enabled ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

... cutting-edge AI from research into products used by millions of home cooks. Role and ... Build and manage datasets, including data collection, labeling, preparation, augmentation, and ...

CyberMedia Technologies

AI / Machine Learning Engineer

$117K - $140K/yr

... Management. The work we do effects millions of U.S. citizens daily as they interact with the ... We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML ...

next page

Showing results 1-20

All JobsEdge Ai Machine Learning JobsManager Edge Ai Machine Learning Jobs

Manager Edge Ai Machine Learning information

See salary details

$31K

$77.4K

$130K

How much do manager edge ai machine learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for manager edge ai machine learning in the United States is $77,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $87,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

More about Manager Edge Ai Machine Learning jobs
What cities are hiring for Manager Edge Ai Machine Learning jobs? Cities with the most Manager Edge Ai Machine Learning job openings:
What are the most commonly searched types of Edge Ai Machine Learning jobs? The most popular types of Edge Ai Machine Learning jobs are:
What states have the most Manager Edge Ai Machine Learning jobs? States with the most job openings for Manager Edge Ai Machine Learning jobs include:
What job categories do people searching Manager Edge Ai Machine Learning jobs look for? The top searched job categories for Manager Edge Ai Machine Learning jobs are:
Manager Edge Ai Machine Learning jobs near you
Infographic showing various Manager Edge Ai Machine Learning job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $77,379 per year, or $37.2 per hour.

Edge AI Engineer

OVA.Work

Remote

$134K - $177K/yr

Full-time

Posted 5 days ago

Job description

Job Summary:
OVA.Work is seeking an Edge AI Engineer to design, develop, optimize, and deploy artificial intelligence and machine learning models on edge devices. The role focuses on building low-latency, power-efficient AI applications for various domains including IoT, robotics, and healthcare.
Responsibilities:
• Design, develop, and deploy AI/ML models for edge devices and embedded systems.
• Optimize deep learning models for low-latency, memory-efficient, and power-efficient inference.
• Convert and deploy models using frameworks such as TensorFlow Lite, ONNX Runtime, TensorRT, and OpenVINO.
• Develop AI applications for computer vision, speech processing, sensor analytics, and real-time decision-making.
• Integrate AI models with embedded hardware, IoT devices, and edge computing platforms.
• Collaborate with hardware engineers, firmware developers, software engineers, and data scientists to deliver end-to-end edge AI solutions.
• Develop and optimize inference pipelines for GPUs, NPUs, TPUs, DSPs, and microcontrollers.
• Perform model benchmarking, profiling, quantization, pruning, and performance tuning.
• Implement secure model deployment, over-the-air (OTA) updates, and device lifecycle management.
• Build APIs and edge services for AI-enabled applications.
• Monitor deployed edge AI systems and continuously improve performance, reliability, and resource utilization.
• Stay current with advancements in edge computing, embedded AI, AI accelerators, and TinyML technologies.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electronics, Embedded Systems, Electrical Engineering, Robotics, or a related field.
• 3–8+ years of experience in AI/ML, embedded systems, edge computing, or software engineering.
• Strong proficiency in Python and C/C++.
• Experience developing and deploying machine learning and deep learning models.
• Knowledge of embedded Linux, real-time operating systems (RTOS), and IoT architectures.
• Experience with model optimization and deployment frameworks.
• Familiarity with computer vision, signal processing, or sensor fusion applications.
• Strong understanding of software engineering principles, debugging, and performance optimization.
Preferred:
• Experience with NVIDIA Jetson, Raspberry Pi, Qualcomm AI platforms, Client Movidius, Google Coral, or similar edge hardware.
• Knowledge of TinyML and microcontroller-based AI deployments.
• Experience with robotics, autonomous systems, or industrial automation.
• Familiarity with MLOps for edge deployments and fleet management.
• Experience with cloud-edge integration and edge orchestration platforms.
• Relevant AI, embedded systems, or cloud certifications.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply