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Entry Level 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

Engineer II, AI/Machine Learning

Irvine, CA ยท On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

Engineer II, AI/Machine Learning

Irvine, CA ยท On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

Machine Learning Engineer

Denver, CO ยท Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

AI & Machine Learning Engineer

Flovilla, GA

$104K - $125K/yr

... edge technologies. Being in the industry for more than 10 years, we provide a splendid range of ... Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ...

AI & Machine Learning Engineer

Denver, CO

$117K - $141K/yr

... edge technologies. Being in the industry for more than 10 years, we provide a splendid range of ... Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ...

Vertex AI Machine Learning Architect

Alpharetta, GA ยท Remote

$62.25 - $80/hr

The Vertex AI Machine Learning Architect will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a ...

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 ...

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 ...

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Entry Level Edge Ai Machine Learning information

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How much do entry level edge ai machine learning jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for entry level edge ai machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

Is it entree or entry?

The correct term for the job level is 'entry' level, as in Entry Level Edge AI Machine Learning roles. These positions typically require minimal professional experience and focus on foundational skills in machine learning, AI, and programming tools like Python or TensorFlow. 'Entree' is a culinary term and not related to job levels or roles.

What is the synonym of entry?

In the context of an Entry Level Edge AI Machine Learning position, a synonym for 'entry' is 'initial' or 'beginner,' indicating a role suitable for those starting their careers with minimal experience. These roles often require foundational knowledge of machine learning concepts and basic programming skills, such as Python or TensorFlow.

Is it entry or entery?

The correct term for starting level positions, including Entry Level Edge AI Machine Learning roles, is 'entry' and not 'entery.' Employers typically look for basic skills in machine learning, programming, and AI tools for entry-level roles. Proper spelling ensures clear communication in your application materials.

What does entry mean?

In the context of an Entry Level Edge AI Machine Learning position, 'entry' typically refers to a role suitable for candidates with limited professional experience or recent graduates. It often involves foundational tasks, learning on the job, and may require basic knowledge of machine learning tools and programming languages like Python or TensorFlow.
More about Entry Level Edge Ai Machine Learning jobs
What cities are hiring for Entry Level Edge Ai Machine Learning jobs? Cities with the most Entry Level 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:
Infographic showing various Entry Level Edge Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $36,327 per year, or $17.5 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.