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Machine Learning Remote Internship Jobs in Phoenix, AZ

Senior Software Engineer

Tempe, AZ ยท Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

... remote-first education and technology company on a mission to transform learning for students ... and virtual machines. * Provide Tier 1-2 technical support by resolving hardware, software ...

This is a fully remote position. You will be responsible for writing and maintaining automated ... experiences, learning and applying quality engineering best practices across the software ...

This is a fully remote position. You will be responsible for writing and maintaining automated ... experiences, learning and applying quality engineering best practices across the software ...

Internship or early career experience supporting financial advisors, investment professionals, or ... continuous learning and long-term career growth within Wealth Solutions #PJPW2 #LI-Remote

Project Manager

Gilbert, AZ ยท On-site +1

... machine - ensuring tasks stay on track, deadlines are met, and nothing slips through the cracks ... Learning: Gain valuable experience working directly with the founders of HOF. * Flexibility: While ...

Showing results 41-60

Machine Learning Remote Internship information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

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

As of Jul 29, 2026, the average yearly pay for machine learning remote internship 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 types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Phoenix, AZ? For Machine Learning Remote Internship jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Phoenix, AZ look for? The top searched job categories for Machine Learning Remote Internship jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Machine Learning Remote Internship jobs? Cities near Phoenix, AZ with the most Machine Learning Remote Internship job openings:
Infographic showing various Machine Learning Remote Internship job openings in Phoenix, AZ as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

Senior Security Engineer (SWOOP)

Iridium Satellite, LLC

Tempe, AZ โ€ข On-site, Remote

$112K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

Iridium is an award-winning and innovative satellite communications company with bragging rights to the only network that offers voice and data connectivity anywhere in the world.   For over 20 years, Iridiumโ€™s unique network and services have supported critical communications needs for individuals, businesses, and the evolving Internet of Things.

At Iridium, we understand the importance of staying connected and the limitations of traditional communications networks. People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium to stay connected. We take our responsibility for providing these essential communications very seriously and pride ourselves on offering a reliable lifeline when needed.  Likewise, Iridium is committed to providing an exciting and innovative workplace, where employees are challenged to think outside the box and collaborate on new, bold ideas and solutions.  Our talented teams are passionate about their work and the impact our company makes around the world.  Iridium fosters an empowering and inclusive culture that allows employees to genuinely be their best selves.   We are looking for others who want to join this truly unique company that celebrates our employees and provides the opportunity to truly make a difference in the world.


What Weโ€™re Looking For:

Are you an experienced Security Engineer who thrives at the intersection of cybersecurity and AI? If so, we have an amazing opportunity for you! Iridium is seeking a Senior Security Engineer to help the team leverage AI to build and mature our detection, response and other AI enabled security capabilities across Iridiumโ€™s unique ground network. In this role, youโ€™ll design and implement AI-augmented security workflows, develop detection-as-code pipelines, build playbooks and automated response procedures, and integrate large language models (LLMs) and AI agents into our security operations. Youโ€™ll also be responsible for implementing new security technologies, upgrading and enhancing existing platforms, and helping the team adopt AI-driven approaches to threat detection, investigation, and incident response. This role will operate with a high degree of independence, critical thinking, and a builderโ€™s mindset.

What Youโ€™ll Do:

  • Create roadmaps and design solutions that integrate security into key projects across the business
  • Design, build, and tune detection-as-code pipelines that leverage AI and machine learning to identify threats across endpoints, network, cloud, and identity systems
  • Develop and maintain playbooks and automated response workflows that integrate AI agents for triage, enrichment, and containment
  • Integrate LLMs and AI-driven tooling into security operations to accelerate threat hunting, log analysis, alert correlation, and incident investigation
  • Drive to completion security solution implementations to improve prevention, detection, and response capabilities, while maintaining current knowledge of tools and best practices
  • Enable the security team to adopt AI tools and techniques by building reusable patterns, providing hands-on guidance, and championing practical AI use cases for detection and response
  • Foster teamwork by participating in design meetings, reviews, implementation projects, and coordinating with other departments
  • Identify, develop, and maintain process and procedure documentation
  • Suggest improvements and pursue additional training to maintain skills necessary to execute duties
  • Other duties as assigned

What Youโ€™ll Need to Succeed:

  • Bachelor's degree in Computer Science or related technical discipline OR equivalent combination of education, technical certifications, or training
  • 8+ years of direct work experience
  • Hands-on experience building or maintaining detection-as-code pipelines, SIEM correlation rules, or SOAR playbooks
  • Familiarity with prompt engineering, AI agents, or integrating LLM-based tools (e.g., coding assistants, security copilots) into security workflows
  • Demonstrated experience using AI/ML tools, LLMs, or automation frameworks to build or improve security detection and response capabilities
  • Experience developing or refining a secure Hybrid-Cloud architecture
  • Proficiency in scripting or programming (Python, PowerShell, or similar) for automation and tooling development
  • Strong knowledge of cloud security services in AWS and Azure
  • Proficiency integrating security-oriented technology platforms
  • Strong communication skills, with the ability to confidently present products, deliverables, analyses, and/or issues
  • Possess a problem solver mindset, with the ability to understand a situation or problem and think critically to make decisions or come up with solutions
  • Be comfortable managing upward, including being a proactive communicator and asking for help when needed
  • Have confidence and be able to establish valuable relationships across departments
  • Must be able to prioritize key tasks and have a strong sense of ownership over your work
  • Be active in seeking out ways to continuously improve yourself and gain new knowledge

 

Things That Would be Great if You Brought to the Table:

  • Experience building custom AI agents or workflows for security automation (e.g., using LangChain, Claude, OpenAI APIs, or similar frameworks)
  • Experience with adversary emulation, purple teaming, or MITRE ATT&CK-based detection development
  • Other Cloud Security Engineering and Design experience or certifications
  • Experience in CTF competitions

 

Weโ€™ll also need you to:

  • Be on call (approximately 10% for things such as breaches or need for escalated support)
  • Work a hybrid schedule that includes at least 3 days in office and 2 days from home
  • Be able to travel up to 5%
  • Be able to lift up to 50 pounds
  • US Citizenship required

Work Environment:

This position primarily works in the company office or in a home office. The position is largely sedentary with the majority of the position sitting in a chair and working with a computer. The role uses basic office equipment including a phone, video, computer, keyboard, mouse, and printer.

We believe in-person connection drives innovation, strengthens mentorship, and builds culture, while flexibility enables employees to do their best work. Under Iridiumโ€™s Hybrid Work Policy, employees are expected to work at least three days per week (approximately 60%) in an Iridium office to support collaboration, relationship-building, and professional growth.

 

Additional Information

This job description outlines the general nature and level of work for this role and is not a comprehensive list of duties, responsibilities, or qualifications. Employees may be assigned additional responsibilities as needed.

Base Pay Range: $115,000 - $150,000 USD

Actual compensation will be determined based on a variety of factors and this range represents an estimate of compensation at the time of posting. Base salary is only one part of our compensation package for this role. You may also be eligible for company stock and annual bonus. Employee benefits also include medical, dental, and vision insurance coverage; 401(k) retirement plan options; paid time off and paid holidays; paid parental leave; and other discounts and perks.  

Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.