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Edge Ai Machine Learning Jobs (NOW HIRING)

... cutting-edge AI systems from day one. What You'll Do * Build and improve AI-powered product ... Interest in LLMs, AI agents, machine learning systems, and modern AI tooling * Builder mentality ...

New

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 ...

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 ...

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 ...

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 ...

Machine Learning Engineer - Edge

Dover, NH ยท 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 ...

AI/Machine Learning Engineer

Wilmington, NC ยท On-site

$82K - $112K/yr

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 ...

Machine Learning Engineer - Edge

Lowell, MA ยท 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 ...

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 ...

Machine Learning Engineer - Edge

Dover, NH ยท 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 ...

Machine Learning Engineer - Edge

Dover, NH ยท 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 ...

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Edge Ai Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 16, 2026, the average yearly pay for 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 is an Edge AI Machine Learning job?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What cities are hiring for Edge Ai Machine Learning jobs? Cities with the most 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 Edge Ai Machine Learning jobs? States with the most job openings for Edge Ai Machine Learning jobs include:
Infographic showing various Edge Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Entry Level AI Engineer

People In AI

Pittsburgh, PA โ€ข On-site

$140K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

AI Engineer, Agentic AI & LLM Systems

Compensation- Up to $140,000 base salary + 30% bonus + Equity

Location- Pittsburgh, PA (Onsite)


U.S. Citizenship required ๐Ÿ‡บ๐Ÿ‡ธ


About the Company

Our client is a rapidly scaling AI software company developing mission-critical technology for the national security sector. Their platform helps government organizations make faster, more informed decisions across complex operational, logistics, supply chain, and modernization challenges using advanced data, AI, and automation.


Backed by significant recent growth investment and experiencing exceptional commercial momentum, the company is expanding its AI engineering team to help build the next generation of intelligent, agent-driven software systems.


The Opportunity

We're looking for an early-career AI Engineer to join a high-performing team building production-grade AI systems at the intersection of large language models, agentic workflows, and mission-critical decision-making.


This is an opportunity for a highly capable engineer who wants a steep learning curve, meaningful ownership, and exposure to real-world AI products deployed in high-impact environments. You'll work alongside experienced AI engineers developing intelligent agents that go far beyond chat interfaces leveraging tools, orchestrating workflows, generating outputs, and automating complex operational processes.


Whether you're a recent graduate with exceptional internships or have up to three years of industry experience, this role offers the chance to grow quickly while contributing to cutting-edge AI systems from day one.


What You'll Do

  • Build and improve AI-powered product capabilities using LLMs, agents, and modern AI frameworks
  • Develop production software that supports intelligent workflow automation and decision support
  • Contribute to agent architectures that can utilize tools, execute workflows, and generate actionable outputs
  • Design, implement, and maintain backend services and APIs
  • Collaborate closely with AI engineers, product teams, and domain experts
  • Experiment with and evaluate emerging AI technologies and agentic frameworks
  • Help scale AI systems from prototype concepts into reliable production solutions
  • Take ownership of projects and contribute across the full development lifecycle


What You'll Bring

  • Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Machine Learning, or a related field
  • Early professional experience in software engineering, machine learning, or AI
  • Strong computer science fundamentals, including algorithms, data structures, and software design
  • Strong programming skills in Python and/or modern backend technologies
  • Evidence of building real-world projects, products, research, or open-source contributions
  • Interest in LLMs, AI agents, machine learning systems, and modern AI tooling
  • Builder mentality with a strong sense of ownership and curiosity
  • Ability to thrive in fast-moving, ambiguous environments
  • Excellent communication and collaboration skills


Preferred Experience

  • Graduate degree in a technical field
  • Experience through internships at software, AI, defense technology, or data-intensive organizations
  • Research or project work involving LLMs, AI agents, machine learning, or distributed systems
  • Strong GitHub portfolio or demonstrable technical side projects
  • Familiarity with modern AI development workflows and coding assistants


Tech Stack

  • Python
  • Large Language Models (LLMs)
  • Agent Frameworks
  • AI Orchestration Tools
  • Backend Services & APIs
  • Workflow Automation Systems
  • Modern Developer Tooling & AI Coding Assistants
  • Cloud & Distributed Systems


Requirements

  • U.S. Citizenship required
  • Must be eligible and willing to obtain a security clearance (or already hold one)
  • Must be comfortable working on national security and defense-related challenges
  • Must be willing to relocate to Pittsburgh, PA and work onsite full-time


Why Join?

  • Build real agentic AI systemsโ€”not just chatbot features
  • Work on technology that directly supports critical national security missions
  • Join a company experiencing exceptional growth and market momentum
  • Receive strong compensation, quarterly bonus opportunities, and equity participation
  • Learn from a highly technical and hands-on AI engineering team
  • Gain exposure to cutting-edge AI development practices and modern engineering workflows
  • Take ownership early and accelerate your career in a high-impact environment


About People In AI

People In AI is a specialist AI and Machine Learning recruitment partner helping exceptional engineers, researchers, and technical leaders connect with some of the most exciting AI companies in the market. We work closely with innovative organizations building transformative products across AI, machine learning, data, and advanced software engineering.