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Ai Machine Learning Specialists Jobs (NOW HIRING)

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Overview Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$92K - $126K/yr

Overview Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt workflows, and ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

Veritone's leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human ...

Masimo Corporation

$120K - $150K/yr

The AI/Machine Learning Engineer IIwill be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and development ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Oversees the coding, pipeline development, execution, and delivery of Artificial Intelligence (AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams and ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · 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 creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · 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 creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · Remote

$107K - $146K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · Remote

$101K - $139K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

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 vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

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Ai Machine Learning Specialists information

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How much do ai machine learning specialists jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for ai machine learning specialists in the United States is $20.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between Ai Machine Learning Specialists vs Data Scientists?

AspectAi Machine Learning SpecialistsData Scientists
CredentialsDegree in Computer Science, AI, or related fields; certifications in ML frameworksDegree in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentDevelop and optimize ML models, focus on algorithms and AI systemsAnalyze data, create reports, interpret data insights
Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, and other data-driven industries

While both roles involve working with data and algorithms, Ai Machine Learning Specialists focus primarily on developing and deploying machine learning models and AI systems, whereas Data Scientists analyze and interpret data to inform business decisions. The roles often overlap but differ in their core focus and skill sets.

What does an AI Machine Learning Specialist do?

An AI Machine Learning Specialist develops and implements algorithms that enable computers to learn from data and improve their performance over time. They work with large datasets, use programming languages like Python or R, and often utilize machine learning frameworks such as TensorFlow or PyTorch to create predictive models and automate decision-making processes.

What is the salary of AI machine learning specialists?

AI machine learning specialists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning or data engineering can earn higher salaries, often exceeding $200,000. Certifications in relevant tools like TensorFlow or PyTorch can also influence compensation.
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Ai Machine Learning Specialists jobs near you
Infographic showing various Ai Machine Learning Specialists job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $42,068 per year, or $20.2 per hour.

Head of AI & Machine Learning

San Francisco, CA • On-site

Pivotal Solutions
See more jobs at Pivotal Solutionsexternal

Full-time

Re-posted yesterday

Key responsibilities

  • Lead the development and scaling of a multi-agent AI platform to deliver sophisticated, end-to-end solutions.

  • Design and expand agent workflows to handle complex tasks and decision-making processes.

  • Collaborate with teams to integrate AI systems into products and ensure their performance and trustworthiness.

Job description


As the Head of AI & Machine Learning, you will lead the development of transformative AI systems, leveraging generative AI and multi-agent architectures to deliver innovative solutions. Your work will focus on creating advanced, custom AI models that process complex, multi-modal data and provide actionable insights. Internally, you will enhance operational efficiency through AI-driven systems. Externally, you will redefine user experiences by delivering personalized, transparent, and accessible AI solutions.
Responsibilities
  • Lead the development and scaling of a multi-agent AI platform to deliver sophisticated, end-to-end solutions.
  • Enhance integration with foundation models while building custom AI capabilities tailored to specific needs.
  • Design and expand agent workflows to handle complex tasks and decision-making processes.
  • Develop specialized neural architectures optimized for domain-specific reasoning and decision-making.
  • Create purpose-built AI agents with capabilities beyond general-purpose models.
  • Engineer proprietary orchestration layers to enable seamless collaboration among AI agents.
  • Build advanced systems to extract insights from diverse data sources, including documents, market signals, and user inputs.
  • Design novel evaluation frameworks to measure performance, trust, and qualitative outcomes.
  • Implement intelligence loops to enable continuous knowledge accumulation from user interactions.
  • Create explainable AI decision pathways to ensure transparency for users and compliance with regulations.
  • Architect adaptive interfaces that evolve based on user behavior and preferences.
  • Design privacy-preserving AI systems to protect sensitive data while enabling personalization.
  • Implement regulatory compliance guardrails to ensure adherence to industry standards.
  • Collaborate with leadership, engineering, operations, and design teams to integrate AI systems into products.
  • Stay at the forefront of AI innovation, researching and applying breakthrough techniques.

Requirements
Qualifications
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI/ML research and development, preferably at leading AI labs or technology companies.
  • Expertise in large language models (LLMs), multi-agent systems, and AI orchestration.
  • Experience applying AI in high-stakes domains, such as finance or regulated industries, is highly valued.
  • Proven ability to design and implement agent-based systems for complex, real-world tasks.
  • Demonstrated success in building practical AI applications with transparency and explainability.
  • Proficiency in retrieval-augmented generation for knowledge-intensive applications.
  • Strong understanding of domain-specific data and decision-making processes.
  • Background in human-AI interaction design and explainable AI methodologies.
  • Experience building systems that learn from user feedback and improve over time.
  • Deep knowledge of privacy-preserving AI techniques for sensitive data.
  • Ability to translate business needs into robust AI architectures.
  • Expertise in balancing innovation with regulatory and compliance requirements.
  • Strong leadership and mentoring skills with experience guiding technical teams.
  • Excellent communication skills to collaborate with non-technical stakeholders.
  • Commitment to building accurate, reliable, and trustworthy AI systems.
  • Published research in AI/ML conferences or proven industry implementations.
  • Proficiency in Python and relevant ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).

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