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Full Time Edge Ai Machine Learning Jobs (NOW HIRING)

Corning

AI/Machine Learning Engineer

Wilmington, NC · On-site

$82K - $112K/yr

Apply data science techniques, such as machine learning, statistical modeling, and artificial ... The range for this position is $82,051.00 - $112,821.00 assuming full time status. Starting pay for ...

CyberMedia Technologies

AI / Machine Learning Engineer

$117K - $140K/yr

We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits ...

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

RiVidium is seeking an AI / Machine Learning Lead to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and Data ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

This full-time position will be hybrid to Ashburn, VA. This position is contingent upon award of ... Design, develop, train, and validate advanced AI and machine learning models to support mission ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

GN Group

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

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All JobsFull Time Edge Ai Machine Learning Jobs

Full Time Edge Ai Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 8, 2026, the average yearly pay for full time edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are Full Time Edge AI Machine Learning jobs?

Full Time Edge AI Machine Learning jobs involve developing and deploying machine learning models that run directly on edge devices, such as smartphones, IoT devices, or embedded systems, rather than relying solely on cloud computing. Professionals in these roles work on optimizing algorithms for low-power, resource-constrained environments and enabling real-time AI processing at the device level. These jobs typically require expertise in AI, machine learning, embedded systems, and sometimes hardware integration, and are essential for applications like smart cameras, autonomous vehicles, and industrial automation.

What are the key skills and qualifications needed to thrive as a Full Time Edge AI Machine Learning Engineer, and why are they important?

To thrive as a Full Time Edge AI Machine Learning Engineer, you need a solid background in computer science, machine learning algorithms, and embedded systems, often supported by a relevant degree and experience in AI model deployment. Familiarity with frameworks like TensorFlow Lite, ONNX, and hardware platforms such as NVIDIA Jetson or ARM Cortex is typically required, along with knowledge of programming languages like Python and C++. Strong problem-solving, adaptability, and effective communication skills help you collaborate across multidisciplinary teams and address real-time deployment challenges. These combined skills ensure efficient, scalable, and robust AI solutions on resource-constrained edge devices, which is critical for success in this rapidly evolving field.

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

AspectFull Time Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong programming skills
Work EnvironmentEdge devices, IoT environments, real-time data processingOffice or remote, data analysis, model development
Industry UsageAI hardware companies, IoT, autonomous systemsTech, finance, healthcare, research

Full Time Edge Ai Machine Learning specialists focus on deploying ML models on edge devices for real-time processing, often requiring knowledge of hardware and embedded systems. Data Scientists analyze data, develop models, and interpret results primarily in cloud or office settings. While both roles involve machine learning, Edge AI emphasizes deployment on hardware, whereas Data Scientists focus on data analysis and model development.

What are some common challenges faced when deploying AI models on edge devices in a full-time Edge AI Machine Learning role?

One of the main challenges in this role is optimizing machine learning models to run efficiently on resource-constrained edge devices, which often have limited processing power and memory compared to cloud environments. Ensuring low latency and real-time performance without sacrificing accuracy requires specialized techniques such as model quantization or pruning. Additionally, maintaining robust security and handling data privacy on distributed devices adds complexity. Collaboration with hardware engineers and software developers is frequently required to address these multidisciplinary challenges.
More about Full Time Edge Ai Machine Learning jobs
What cities are hiring for Full Time Edge Ai Machine Learning jobs? Cities with the most Full Time Edge Ai Machine Learning job openings:
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Full Time Edge Ai Machine Learning jobs near you
Infographic showing various Full Time Edge Ai Machine Learning job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
AI/Machine Learning Engineer

AI/Machine Learning Engineer

Corning

Wilmington, NC • On-site

$82K - $112K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

79th of 516 rated manufacturers

Job description

Requisition Number: 73900
The company built on breakthroughs.
Join us.
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings - carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
Scope of Position:
The AI/ML Advanced Data Analytics Engineer will be part of a core solution development team working with domain experts, application developers, controls engineers, data engineers and data scientists. Their primary responsibility will be to design and develop solutions to automate data access, data visualization and develop machine learning models. These systems & solutions will span both cloud and on-premises environments and will require close collaboration with many technical teams to ensure success.
Responsibilities:
  • Develop and implement AI/ML data science methodologies and AI Products that align with business objectives.
  • Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve manufacturing and business problems
  • Collaborate with data scientists, process engineers, and controls engineers to understand and automate data operations like transformation and normalization. Design monitoring systems to ensure the models perform well.
  • Generate documentation on data analytics pipelines and processes.
  • Participate in advanced data analytics COPs (communities of practice) to spread knowledge and drive governance and reusability of data analytics topics.
  • Leverage tools such as Databricks and AWS Datasync to manage data, build models, and deploy solutions.
  • Stay abreast of the latest data science and AI/ML trends and technologies, identifying opportunities for innovation and improvement.

Education & Experience: Required
  • Bachelor's degree in Computer Science, Statistics, Engineer or related scientific field is preferred.
  • 2-4 years of relevant technical experience in a manufacturing environment.
  • Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.
  • Demonstrated programming proficiency in Python and .NET/C#

Education and Experience: Desired
  • Understand concepts of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments
  • Familiarity with tools such as Databricks and AWS platform services.
  • Ability to Communicate well with users, other technical team to collect requirements, describe data modeling decisions.
  • Cultural bias towards continual learning, sharing best practice, encouraging, and elevating less experienced colleagues as they learn

Travel Requirements:
  • Domestic travel up to 25%.

Work Schedule:
  • Typically, 40 hours/week but could be more depending on project requirements.
  • Night and/or weekend work is possible.

This position does not support immigration sponsorship.
The range for this position is $82,051.00 - $112,821.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.
A job that shapes a life.
Corning offers you the total package.
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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