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Machine Learning Intern Remote Jobs in Phoenix, AZ

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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Machine Learning Intern Remote information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

How much do machine learning intern remote jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning intern remote in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries for ML positions can vary based on experience, location, and company, but they tend to be above average compared to many other entry-level roles in technology. Internships in ML may offer lower pay, but full-time positions often provide competitive compensation and benefits.
What are popular job titles related to Machine Learning Intern Remote jobs in Phoenix, AZ? For Machine Learning Intern Remote jobs in Phoenix, AZ, the most frequently searched job titles are:
What cities near Phoenix, AZ are hiring for Machine Learning Intern Remote jobs? Cities near Phoenix, AZ with the most Machine Learning Intern Remote job openings:
Infographic showing various Machine Learning Intern Remote job openings in Phoenix, AZ as of June 2026, with employment types broken down into 25% Full Time, 25% Part Time, 25% Temporary, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

AI Engineer - GenAI, MLOps & Cloud Platforms - AIRLHV

NavitasPartners

Chandler, AZ • On-site, Remote

$55 - $73.25/hr

Other

Posted 14 days ago


Job description

AI Engineer - GenAI, MLOps & Cloud Platforms 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

Join a high-impact team delivering enterprise AI solutions. This role emphasizes building intelligent systems using modern ML, GenAI, and cloud-native technologies. 

Key Responsibilities: 

  • Develop and operationalize machine learning and GenAI models  
  • Build scalable data and model pipelines using cloud technologies  
  • Partner with cross-functional teams to deliver AI-driven insights  
  • Ensure scalability, performance, and governance of AI systems  

Required Skills: 

  • Hands-on experience in ML engineering, MLOps, and model lifecycle management  
  • Strong programming skills in Python and ML frameworks  
  • Experience with cloud ecosystems (AWS, Azure, GCP)  
  • Knowledge of distributed data processing and integration  

Nice to Have / Coverage: 

  • Experience with Databricks, Snowflake, or BigQuery for data engineering workflows  
  • Familiarity with LangChain and agent-based AI systems  
  • Exposure to enterprise AI governance and compliance standards  
  • Experience collaborating with cloud/data platform architects  

For more details reach at resumes@navitassols.com.