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Ml Engineer Intern Jobs in Brooklyn, NY (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 ...

PATHOS

ML Engineer (Intern)

Manhattan, NY · On-site

Individuals ready to build at the boundary of ML research and production systems * Engineers looking to scale skills in distributed training, model development, and agentic systems Location This is a ...

Pathos

ML Engineer (Intern)

New York, NY · On-site

$30 - $60/hr

Individuals ready to build at the boundary of ML research and production systems * Engineers looking to scale skills in distributed training, model development, and agentic systems Location This is a ...

Haize Labs

Software Engineer Intern

Manhattan, NY · On-site

$100K - $125K/yr

Software Engineer Intern NYC Haize Labs gets LLM apps out of POCs and into production. We eliminate ... Experience with ML in an applied setting. * Can ramp up quickly to understand our research.

SK Life Science

Intern - AI Engineering

Paramus, NJ

$17 - $22/hr

... Engineer Intern will support the design and implementation of AI-driven solutions for ... Experience with academic or personal AI/ML projects * Exposure to analyzing or reproducing research ...

SK Life Science, Inc.

Intern - AI Engineering

Paramus, NJ

$17 - $22/hr

Overview The AI Engineer Intern will support the design and implementation of AI-driven solutions ... or personal AI/ML projects Exposure to analyzing or reproducing research papers Coursework or ...

Sk Life Science, Inc.

Intern - AI Engineering

Paramus, NJ · On-site

$17 - $22/hr

Overview The AI Engineer Intern will support the design and implementation of AI-driven solutions ... ML projects • Exposure to analyzing or reproducing research papers • Coursework or projects ...

SK Life Science, Inc.

Intern - AI Engineering

Paramus, NJ

$17 - $22/hr

The AI Engineer Intern will support the design and implementation of AI-driven solutions for ... ML projects • Exposure to analyzing or reproducing research papers • Coursework or projects ...

Haize Labs

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Experience with ML in an applied setting. * Can ramp up quickly to understand our research.

Haize Labs

Software Engineer Intern

New York, NY

$100K - $125K/yr

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Experience with ML in an applied setting. * Can ramp up quickly to understand our research.

Adaptive ML

Member of Technical Staff (intern)

New York, NY · On-site

$18.25 - $23.75/hr

As a Technical Intern, you will contribute to building parts of the foundational technology that ... programming is a plus, not a requirement) * Help debug issues in distributed or ML-heavy systems

GPTZero

Software Engineering Intern

New York, NY · On-site

Collaborate with our ML, design, and business teams to develop new product initiatives * Wear ... engineering team with both Y-combinator and Obama scholarship recipients, a designer with art ...

GPTZero

Machine Learning Intern

New York, NY · On-site

Past intern projects have been the focus of demos to VCs and state-level policy leaders ... Responsibilities Depending on the candidate, the role can be targeted more towards ML engineering ...

Tt

AI & Computer Vision Intern

New York, NY · On-site

Thornton Tomasetti applies engineering and scientific principles to solve the world's challenges ... Support the AI/ML team in labeling and curating datasets for computer vision models, including ...

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Ml Engineer Intern information

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How much do ml engineer intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for ml engineer intern in Brooklyn, NY is $20.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $21.97 per hour, depending on experience, location, and employer.

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 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.

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 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 popular job titles related to Ml Engineer Intern jobs in Brooklyn, NY? For Ml Engineer Intern jobs in Brooklyn, NY, the most frequently searched job titles are:
What job categories do people searching Ml Engineer Intern jobs in Brooklyn, NY look for? The top searched job categories for Ml Engineer Intern jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Ml Engineer Intern jobs? Cities near Brooklyn, NY with the most Ml Engineer Intern job openings:
Ml Engineer Intern jobs near you
Infographic showing various Ml Engineer Intern job openings in Brooklyn, NY as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,244 per year, or $20.3 per hour.

AI/ML Engineer Intern

Melotech

New York, NY • On-site

$18.25 - $23.75/hr

Full-time

Posted 8 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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