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Machine Learning Engineer Intern Jobs in Hackensack, NJ

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems by designing, deploying, and scaling AI ...

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Machine Learning Engineer

New York, NY · On-site

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...

Lead Machine Learning Engineer

New York, NY · 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 ...

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Machine Learning Engineer Intern information

See Hackensack, NJ salary details

$27.8K

$46.4K

$96K

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

As of Jun 6, 2026, the average yearly pay for machine learning engineer intern in Hackensack, NJ is $46,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $50,200.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 is a Machine Learning Engineer Intern job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 Hackensack, NJ? The most popular types of Machine Learning Engineer jobs in Hackensack, NJ are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Hackensack, NJ? For Machine Learning Engineer Intern jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Hackensack, NJ look for? The top searched job categories for Machine Learning Engineer Intern jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Machine Learning Engineer Intern jobs? Cities near Hackensack, NJ with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer

Machine Learning Engineer

Tagup

Manhattan, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems by designing, deploying, and scaling AI solutions that support mission-critical operations.
Responsibilities:
• Develop, train, and optimize ML models for large-scale applications.
• Build pipelines for data ingestion and model deployment.
• Work with engineers and subject-matter experts to refine solutions.
• Conduct testing and validation to ensure reliability.
• Co-author technical reports on data analysis and model performance.
• Continuously improve ML infrastructure and workflows.
• Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.
Qualifications:
Required:
• 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow.
• Proven ability to deploy ML models into production and work with large, complex datasets.
• Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines.
• Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.
• Familiarity with datastores (MySQL, Postgres, or MongoDB) and prior exposure to aviation, defense, or other safety-critical environments is a plus.
Company:
Tagup provides asset management decision support, lowering the cost of in-service failures, business interruption, and equipment breakdown. Founded in 2015, the company is headquartered in Somerville, USA, with a team of 11-50 employees. The company is currently Early Stage.