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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 platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Deploy ML models using REST APIs or cloud services * Work on model monitoring, validation, and ...

SkyGig

ML Software Engineer Intern

San Jose, CA

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...

Universal Avionics

AI/ML Engineering Intern

Tucson, AZ · On-site

$14.50 - $18.75/hr

AI/ML Engineering Intern Tucson, AZ (Onsite) | Aerospace & Avionics 9/80 Schedule Available - Every Other Friday Off AI/ML Engineering Intern - Build AI That Powers the Future of Flight At Universal ...

Clera

Founding Engineer Intern

San Francisco, CA · On-site

... Intern to join their founding team in San Francisco. You'll work directly with the CTO to ship ... Full-stack focus - not an ML engineer and not overly specialized in a single language (e.g. Python ...

Clera

Founding Engineer Intern

San Francisco, CA · On-site

... Intern to join their founding team in San Francisco. You'll work directly with the CTO to ship ... Full-stack focus -- not an ML engineer and not overly specialized in a single language (e.g. Python ...

Syntiant

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Knowledge of Python, ML frameworks like TensorFlow/Keras, PyTorch, C. Benefits About Syntiant

Syntiant

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Knowledge of Python, ML frameworks like TensorFlow/Keras, PyTorch, C. Benefits About Syntiant

Syntiant

Model Converter Engineer Intern

Irvine, CA

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Knowledge of Python, ML frameworks like TensorFlow/Keras, PyTorch, C. Benefits About Syntiant

Nirmata

AI Software Engineer Intern

San Jose, CA

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.

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How much do ml engineer intern jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for ml engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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

AspectML Engineer InternData Scientist Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksSimilar educational background; strong statistical and analytical skills; familiarity with data analysis tools
Work EnvironmentFocus on developing and deploying machine learning models, coding in Python, TensorFlow, or PyTorchFocus on analyzing data, creating visualizations, and deriving insights from datasets
Employer & Industry UsageCommon in tech companies, AI startups, and research labsWidely used across tech, finance, healthcare, and consulting firms

Both roles are entry-level internships requiring a background in data-related fields. ML Engineer Interns focus on building and deploying machine learning models, while Data Scientist Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an ML Engineer Intern, and why are they important?

To thrive as an ML Engineer Intern, you need a solid foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by coursework or hands-on projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in team environments. These skills are important because they enable interns to contribute meaningfully to real ML projects while rapidly acquiring new knowledge and adapting to evolving technologies.

What are ML Engineer Interns?

ML (Machine Learning) Engineer Interns are students or recent graduates who assist in designing, building, and deploying machine learning models under the guidance of experienced professionals. Their responsibilities often include data preprocessing, experimenting with algorithms, evaluating model performance, and collaborating with software engineers and data scientists. ML Engineer Interns gain hands-on experience with programming languages like Python, libraries such as TensorFlow or PyTorch, and tools for data analysis. This role is a valuable opportunity to learn how machine learning solutions are developed and applied in real-world scenarios.

What types of projects and responsibilities can an ML Engineer Intern expect to work on during their internship?

As an ML Engineer Intern, you can expect to work on a variety of projects ranging from data preprocessing and cleaning to building and testing machine learning models under the guidance of senior engineers. Interns often contribute to tasks such as feature engineering, model evaluation, and deploying models into production environments. You may also collaborate with data scientists and software engineers to integrate ML solutions into larger systems or products. This hands-on experience not only helps develop your technical skills but also provides insight into industry-standard workflows and team structures.
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Ml Engineer Intern jobs near you

AI/ML Engineer Intern

Melotech

New York, NY • On-site

$18.25 - $23.75/hr

Full-time

Posted 9 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.

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