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Machine Learning Ai Jobs (NOW HIRING)

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence ...

mSupply

Machine Learning Engineer| AI - US

$99K - $136K/yr

Job Summary The Machine Learning / AI Engineer is responsible for designing, building, and operationalizing machine learning models and AI-powered solutions that drive measurable business value ...

The Hartford

AI Machine Learning Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

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All JobsMachine Learning Ai Jobs

Machine Learning Ai information

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$25.5K

$42.6K

$88K

How much do machine learning ai jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning ai 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 the key skills and qualifications needed to thrive as a Machine Learning AI Engineer, and why are they important?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Software Developer, and AI Product Manager. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and understanding of data analysis and algorithms.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in AI frameworks, and strong industry expertise can earn $500,000 or more annually, especially in high-demand sectors like technology and finance. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

Which 3 jobs will survive AI?

Machine Learning AI professionals are likely to continue to find demand in roles such as AI researchers, data scientists, and AI ethics specialists, as these require advanced expertise, critical thinking, and understanding of complex algorithms. These roles involve tasks that are difficult to fully automate and often require ongoing innovation, specialized skills, and domain knowledge. Staying updated with programming languages like Python and frameworks such as TensorFlow can enhance job security in this field.

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

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

More about Machine Learning Ai jobs
What cities are hiring for Machine Learning Ai jobs? Cities with the most Machine Learning Ai job openings:
What are the most commonly searched types of Machine Learning Ai jobs? The most popular types of Machine Learning Ai jobs are:
What states have the most Machine Learning Ai jobs? States with the most job openings for Machine Learning Ai jobs include:
What job categories do people searching Machine Learning Ai jobs look for? The top searched job categories for Machine Learning Ai jobs are:
Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in the United States as of June 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
AI/Machine Learning Engineering - Intern

AI/Machine Learning Engineering - Intern

DataVisor

Mountain View, CA • On-site

$25 - $70/hr

Contractor

Posted 11 hours ago

Job description

About DataVisor
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Role Summary
We are seeking highly motivated, soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns.
This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform.
This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs).
What You'll Do
  • Data Engineering & Pipelines
    • Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink
    • Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems
  • Distributed Systems & Scalability
    • Learn to design and optimize backend systems that support large-scale, real-time decisioning
    • Contribute to improving system performance, reliability, and latency under high transaction volumes
  • AI Applications & Agentic Flows
    • Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google)
    • Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation
  • Machine Learning Pipelines
    • Help deploy and monitor pipelines for unsupervised and supervised ML models
    • Assist with integrating models into real-time scoring APIs and decision engines
  • Privacy & Security
    • Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data
  • Cross-Functional Collaboration
    • Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features

Requirements
  • Current MS or Ph.D. students majoring in Computer Science, Machine Learning, AI, Data Science, or a related field
  • Passionate about learning how real-world AI systems are built at scale
  • Comfortable working with complex technical problems and eager to grow through mentorship
  • Strong programming skills in Python
  • Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development
  • Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus
  • Understanding of core ML concepts (supervised / unsupervised learning)
Preferred (Nice-to-Have)
  • Coursework or project experience with:
    • LLMs, RAG architectures, LangChain, or vector databases
    • Cloud platforms (AWS) and containers (Docker)
    • Stream processing or real-time systems
  • Interest in fraud, risk, or security domains (not required)

Benefits
  • Hands-on experience working on production-scale AI systems
  • Mentorship from senior engineers and data scientists
  • Exposure to cutting-edge agentic AI and LLM applications
  • Opportunity for full-time conversion based on performance and business needs
  • Comp Range, $25 - $70/hour

Apply