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Machine Learning Scientist Intern Jobs in Secaucus, NJ

Concord Advice

Data Scientist - Intern

Florham Park, NJ · On-site

$40K - $70K/yr

Data Scientist Intern -- Concord AdviceSummary Concord Advice is a dynamic fintech company ... Build end-to-end automated machine learning workflows using Azure cloud computing and our MLOps ...

Crowe LLP

Machine Learning Intern

Livingston, NJ

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

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Crowe LLP

Machine Learning Intern

New York, NY

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

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All JobsMachine Learning Scientist Intern JobsMachine Learning Scientist Intern Jobs in Secaucus, NJ

Machine Learning Scientist Intern information

See Secaucus, NJ salary details

$25.9K

$43.3K

$89.5K

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

As of Aug 16, 2026, the average yearly pay for machine learning scientist intern in Secaucus, NJ is $43,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,800.00 per year, depending on experience, location, and employer.

What kinds of projects and collaborations can a machine learning scientist intern expect during their internship?

As a Machine Learning Scientist Intern, you can expect to work on real-world data-driven projects, often involving tasks like data preprocessing, developing and testing machine learning models, and analyzing model performance. Interns typically collaborate with experienced data scientists, engineers, and sometimes product teams, participating in regular meetings and code reviews. This role offers hands-on experience with large datasets and modern ML frameworks, along with mentorship to help you grow your technical and research skills. Working cross-functionally is common, so strong communication and teamwork are valuable assets.

What does a machine learning scientist intern do?

A Machine Learning Scientist Intern typically assists in designing, developing, and testing machine learning models to solve real-world problems. They collaborate with experienced scientists and engineers to analyze data, select appropriate algorithms, and evaluate model performance. Interns often contribute to research projects, data preprocessing, and implementation of prototypes. This role provides valuable hands-on experience in applying machine learning techniques to practical challenges and often involves learning and using tools such as Python, TensorFlow, or PyTorch.

What are the key skills and qualifications needed to thrive as a machine learning scientist intern, and why are they important?

To thrive as a Machine Learning Scientist Intern, you generally need a solid foundation in mathematics, statistics, and programming (especially Python), often supported by coursework or research experience in machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems is typically expected. Strong problem-solving skills, curiosity, and effective communication help interns stand out when collaborating and presenting results. These skills and qualities are vital for effectively developing models, interpreting data, and contributing to innovative projects in a team environment.
Machine Learning Scientist Intern jobs near you

Machine Learning Scientist

Columbia University Irving Medical Center

Manhattan, NY • On-site

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Columbia University Irving Medical Center is seeking a Machine Learning Scientist focused on deep learning models for biomolecular systems and drug discovery. The role involves developing neural network architectures, designing active learning experiments, and collaborating with team members and industry partners.
Responsibilities:
• Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles.
• Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models.
• Devise experiments to understand scaling behavior of biomolecular models.
• Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings.
• Develop new ideas, write code, run experiments, analyze data, and prepare reports.
• Be an active member of one or more highly collaborative teams.
• Stay current with the ultrafast-paced nature of biomolecular machine learning.
• Maintain and enhance external visibility through publishing papers, writing open-source code, and engaging with the scientific community.
Qualifications:
Required:
• M.S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience.
Preferred:
• Ph.D. in computer science / machine learning, computational biology, or related quantitative fields.
• Extensive machine learning experience, including design, training, and deployment of complex neural architectures.
• Extensive programming experience in Python.
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively in cross-functional teams.
Company:
Columbia University Irving Medical Center is a clinical and educational enterprise that offers medical, dental, and nursing services. It is a sub-organization of Columbia University. Founded in 1767, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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