Remote AI ML Intern Jobs
Remote AI ML Intern jobs are open across the U.S. at remote-first firms and distributed teams in sectors including tech, fintech, and healthcare. Employers hiring remotely right now include Atlas Technologies, Lockheed Martin, and Meridial. See the openings below and apply to the ones that match your experience.
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Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD AI ENGINEER - ADANCED AI
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the role:
Target’s Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models, and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.
As a Lead AI Engineer for Advanced AI, you will help design, build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn ambiguous business problems into practical, scalable technical solutions.
In this role, you will provide hands-on technical leadership for AI engineering initiatives. You will contribute to architecture and design decisions, evaluate appropriate models, frameworks, and tools, write maintainable production-quality code, and help establish strong engineering practices across development, testing, deployment, observability, documentation, and ongoing support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
You will also partner with senior engineers and engineering leaders to shape technical approaches, identify implementation risks, resolve roadblocks, and support the evolution of reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices. A successful Lead AI Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
- 5+ years of hands-on software engineering experience, including experience building and operating production systems
- Strong experience developing AI/ML applications, including LLM-powered applications, agentic systems, applied machine learning solutions, data-intensive applications, or intelligent automation capabilities
- Strong proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools
- Experience working with model APIs, prompt orchestration, agent development patterns, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers, or orchestration technologies
- Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation strategy, performance optimization, and production deployment considerations for AI systems
- Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, applications, or platforms
- Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support
- Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions
- Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, business stakeholders, and leaders
- Ability to mentor engineers, contribute to technical direction, and raise the quality of engineering practices within a team
- Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 11/19/2026Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD AI ENGINEER - ADANCED AI
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the role:
Target’s Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models, and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.
As a Lead AI Engineer for Advanced AI, you will help design, build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn ambiguous business problems into practical, scalable technical solutions.
In this role, you will provide hands-on technical leadership for AI engineering initiatives. You will contribute to architecture and design decisions, evaluate appropriate models, frameworks, and tools, write maintainable production-quality code, and help establish strong engineering practices across development, testing, deployment, observability, documentation, and ongoing support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
You will also partner with senior engineers and engineering leaders to shape technical approaches, identify implementation risks, resolve roadblocks, and support the evolution of reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices. A successful Lead AI Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
- 5+ years of hands-on software engineering experience, including experience building and operating production systems
- Strong experience developing AI/ML applications, including LLM-powered applications, agentic systems, applied machine learning solutions, data-intensive applications, or intelligent automation capabilities
- Strong proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools
- Experience working with model APIs, prompt orchestration, agent development patterns, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers, or orchestration technologies
- Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation strategy, performance optimization, and production deployment considerations for AI systems
- Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, applications, or platforms
- Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support
- Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions
- Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, business stakeholders, and leaders
- Ability to mentor engineers, contribute to technical direction, and raise the quality of engineering practices within a team
- Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 11/19/2026See All 51 Remote AI ML Intern Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI ML Intern JobsRemote AI ML Intern Job Market
Who's Hiring
- Atlas Technologies22
- Lockheed Martin4
- Meridial2
- Amgen1
- Target1
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote AI ML intern jobs.
- Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn
- Current enrollment in or recent completion of a bachelor's or master's degree in computer science, data science, or a related field
- Experience building and evaluating supervised or unsupervised machine learning models
- Solid grounding in linear algebra, probability, and statistics as applied to model development
- Ability to work with structured and unstructured datasets using tools like pandas, NumPy, or SQL
- Familiarity with version control using Git and experience sharing reproducible code or notebooks
Tips for Your Remote AI ML Intern Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ai ml intern openings from across the U.S. in one place so you can find roles that match your skills and apply directly. Remote postings fill fast, so checking frequently and applying as soon as a strong match appears puts you ahead of most candidates.
Build a portfolio employers can review async
Remote hiring teams evaluate candidates before any call happens. Put your ML projects on GitHub with clear READMEs explaining your problem framing, dataset choices, and results. Reviewable code is the strongest proof of your skills for a remote ai ml intern role.
Signal async communication skills in your application
Remote ai ml intern teams rely on written communication in Slack, Notion, and pull request comments. In your cover note, explain your technical work in plain, precise language. Employers hiring remotely want evidence you can collaborate clearly without being in the same room.
Prep for remote-format technical interviews
Remote ai ml intern interviews typically use shared coding environments like CoderPad or Jupyter in a browser. Practice explaining your reasoning out loud while you code, because interviewers are watching your thought process in real time without body-language cues to guide them.
Remote AI ML Intern Jobs: Frequently Asked Questions
How do I get a remote ai ml intern job?
Target remote-first companies and distributed engineering teams that already have infrastructure for async collaboration, because those employers know how to onboard and support remote interns. Remote ai ml intern hiring screens hard for self-direction, clear written communication, and hands-on skills in Python, PyTorch or TensorFlow, and version control. A GitHub portfolio with real projects, documented clearly, gives you a concrete edge over candidates who only list coursework.
Which companies hire remote ai ml interns?
Employers currently hiring remote ai ml interns include Atlas Technologies, Lockheed Martin, and Meridial, per current remote listings on Migrate Mate as of November 2026. Remote ai ml intern roles are most common at remote-first technology companies, distributed AI research teams, and startups in fintech and healthcare that run small, specialized engineering orgs.
Can you get a remote ai ml intern job with no experience?
Yes, but remote entry roles are harder to land because you must work independently from day one without in-office guidance. To offset limited experience, build a documented GitHub portfolio with ML projects, contribute to open-source repositories, or complete a published Kaggle competition. Remote-first startups and research-oriented companies are more likely to take a chance on entry-level candidates who can demonstrate initiative through real, visible work.
Do you need a degree for remote ai ml intern jobs?
Not always. Many remote employers weigh demonstrated skills, project work, and relevant coursework over a completed degree for intern-level roles. A strong portfolio covering data preprocessing, model training, and evaluation, paired with proficiency in Python and standard ML frameworks, can carry more weight than enrollment status. Some employers do list a degree requirement, so read each posting carefully and apply where your profile fits.
Which industries hire the most remote ai ml interns?
Remote ai ml intern roles concentrate in Technology & Software, based on current remote listings on Migrate Mate as of November 2026. Those sectors hire ai ml interns remotely because their distributed engineering teams are structured for async collaboration and already have the tooling and workflows to support interns working from anywhere.
See All 51 Remote AI ML Intern Jobs
Find roles that match your experience and apply in just a few clicks.
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