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Machine Learning Engineer Intern Jobs in New York

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...

Job#: 3049321 Machine Learning Engineer Location Jersey City, New Jersey (Onsite) Employment Type Contract Contract Duration 12 Months Role Overview This position involves applying advanced machine ...

Lead Machine Learning Engineer

New York, NY ยท On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

New York, NY

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Lead Machine Learning Engineer

Manhattan, NY ยท On-site

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks. * 80% of model Engineering work & 20% of operations work * Email arbitration with ...

Lead Machine Learning Engineer

New York, NY ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Senior Machine Learning Engineer

New York, NY ยท On-site +1

$114K - $157K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

New

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Lead Machine Learning Engineer

New York, NY ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

Showing results 41-60

Machine Learning Engineer Intern information

See New York salary details

$27.9K

$46.6K

$96.3K

How much do machine learning engineer intern jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning engineer intern in New York is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in New York?

The most popular types of Machine Learning Engineer jobs in New York are:

What cities in New York are hiring for Machine Learning Engineer Intern jobs?

Cities in New York with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

Machine Learning Engineer

Manhattan, NY โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Goodfire is a research company focused on building safe and powerful AI systems through interpretability. They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as interpretability tools and training infrastructure.
Responsibilities:
โ€ข Turn cutting edge interpretability research into production ready tools.
โ€ข Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
โ€ข Integrate new machine learning workflows and pipelines into our product and deploy to customers.
โ€ข Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
โ€ข 5+ years of experience in ML infra, research engineering, or systems programming.
โ€ข Comfort working across research and engineering boundaries.
โ€ข Expertise in Python, PyTorch or Jax, and distributed systems.
โ€ข Experience deploying and maintaining ML systems at scale.
โ€ข You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
โ€ข Open-source ML infra contributions.
โ€ข Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.