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Ai Ml Engineer Intern Jobs (NOW HIRING)

Melotech

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content ... Fine-tuning and deploying multimodal AI systems using MLOps best practices * Collaborating with ...

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...

DecisionPoint | Cortek

AI/ML Engineer

The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion) Location: Minneapolis, MN (Remote/hybrid) Role Objective We are seeking a hands-on AI/ML Engineer to ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

OMS MEDICAL BILLING LLC

AI/ML Engineer

Addison, TX · Hybrid

AI/ML Engineer (Python) Location: Addison, TX | On-site, 5 days/week Type: Full-time About the Role We are seeking a hands-on AI/ML Engineer to define how AI is built, evaluated, and operated across ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AI/ML Engineer Location: Dallas, TX, United States Job Type: Full-Time Experience: 0-3 years Work Authorization: OPT, H-1B, , or other valid US work authorization Job Summary We are seeking a ...

New

540

AI/ML Engineer

Arlington, VA · On-site

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

540

AI/ML Engineer

Arlington, VA

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL

As an AI/ML Engineer, your duties will include the following, but are not limited to: * Design, develop, and deploy machine learning models to support mission-critical objectives. * Analyze and ...

Assured Consulting Solutions

AI/ML Engineer

Reston, VA

$175K - $220K/yr

Our AI/ML Engineer is the core mission specialist who develops, implements, and deploys innovative AI/ML and LLM-enabled capabilities to solve mission-critical problems. This role combines deep model ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL · On-site

As an AI/ML Engineer, your duties will include the following, but are not limited to: * Design, develop, and deploy machine learning models to support mission-critical objectives. * Analyze and ...

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking for AI / ML Engineers who are passionate about buildingintelligent systems that solve real-world ...

Lululemon athletica

Staff AI/ML Engineer

Seattle, WA · On-site

Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...

New

Lululemon

Staff AI/ML Engineer

Seattle, WA · On-site

Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...

New

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Ai Ml Engineer Intern information

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How much do ai ml engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai ml engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI ML engineer intern, and why are they important?

To thrive as an AI/ML Engineer Intern, you generally need a solid foundation in computer science, mathematics (especially linear algebra and statistics), and experience with machine learning concepts, often supported by coursework or project experience. Familiarity with programming languages like Python, libraries such as TensorFlow or PyTorch, and version control systems like Git is typically required. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative and fast-evolving environments. These skills and qualities are crucial for contributing to real-world AI/ML projects and adapting to new challenges in the field.

What does an AI ML engineer intern do?

An AI/ML Engineer Intern assists in building, testing, and improving machine learning models and artificial intelligence systems under the supervision of senior engineers. Their tasks often include data preprocessing, exploring datasets, implementing algorithms, and helping integrate AI solutions into existing applications. Interns may also collaborate on research, contribute to documentation, and support the overall development workflow. This role provides hands-on experience in coding, model evaluation, and understanding real-world challenges in AI/ML projects.

What are some common challenges AI ML engineer interns face during their internship, and how can they overcome them?

AI/ML Engineer Interns often encounter challenges such as understanding large, complex datasets, adapting to new frameworks or tools quickly, and translating theoretical concepts into practical solutions. It's common to feel overwhelmed by the fast-paced environment and the need to collaborate with cross-functional teams. To overcome these challenges, interns should proactively seek guidance from mentors, break down tasks into manageable steps, and participate in regular code reviews to learn best practices. Staying curious and open to feedback will help interns grow their technical and teamwork skills throughout the internship.

What is the difference between Ai Ml Engineer Intern vs Data Scientist Intern?

AspectAi Ml Engineer InternData Scientist Intern
Required SkillsProgramming (Python, TensorFlow), Machine Learning, Data AnalysisStatistics, Data Analysis, Programming (Python, R)
Work EnvironmentDevelopment, Model Building, Algorithm ImplementationData Exploration, Statistical Modeling, Data Visualization
Industry UsageAI/ML product development, research, tech companiesBusiness analytics, research, tech and finance sectors

Both roles often require programming skills and familiarity with data analysis tools. An Ai Ml Engineer Intern focuses more on developing machine learning models and algorithms, while a Data Scientist Intern emphasizes data exploration and statistical analysis. The choice depends on your interest in model development versus data insights.

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What job categories do people searching Ai Ml Engineer Intern jobs look for? The top searched job categories for Ai Ml Engineer Intern jobs are:
Ai Ml Engineer Intern jobs near you
Infographic showing various Ai Ml Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

AI/ML Engineer Intern

Melotech

New York, NY • On-site

$18.25 - $23.75/hr

Full-time

Re-posted 25 days ago

Job description

Who we are
Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.
Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.
What you will do
As our ML Engineer Intern, you'll be the technical backbone powering our content platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of users while maintaining low latency? What's the optimal architecture for training and deploying models that understand cultural trends in real-time? And how do we leverage cutting-edge models to enhance creative processes while preserving quality? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:
  • Building and deploying production ML models for within our content and product ecosystem
  • Designing scalable ML infrastructure and pipelines that handle massive media datasets
  • Implementing inference systems for content optimization across multiple verticals
  • Fine-tuning and deploying multimodal AI systems using MLOps best practices
  • Collaborating with data science teams to transition research models into production-ready systems
  • Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements
  • Integrating ML capabilities into existing platforms and building APIs for seamless model consumption

Who you are
You're a production-focused upcoming ML engineer who bridges the gap between cutting-edge tech and scalable systems. Your expertise lies in building robust ML infrastructure that powers real-world applications at scale. You thrive in fast-paced environments where your technical decisions directly impact business outcomes and user experiences. Typically, your profile will look like this:
  • Pursuing a degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field
  • Hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms
  • Proficiency in Python, ML frameworks, and cloud platforms
  • Self-directed approach with ability to architect complex systems independently while collaborating across technical teams
  • You thrive in a fast-paced and performance-oriented environment
  • Colleagues would describe you as hard-working, ambitious and persistent
  • You're obsessed with music, video or social media

What makes this exciting
You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate.
We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together.
What the process will look like
We hire on a rolling basis. Earliest starting date is always ASAP.
Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:
  1. Take-home case study: Real-world project - showcase your skills and working style
  2. Case interview: 90-minute case discussion - getting to know you & present and debate your results with a team member
  3. Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
  4. Founder interview: 90-minute interview with our CEO - going deep on all topics
  5. Team interview: Individual or group interview with other team members - depending on position
  6. Offer, contract signing and onboarding

Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.

Apply