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Machine Learning Scientist Intern Jobs in Secaucus, NJ

Strivector Corp

Machine Learning

Manhattan, NY · On-site

They are seeking a Machine Learning professional capable of tackling research problems with commercial applications, applying technical expertise to real-world financial and operational challenges.

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Stay updated with the latest trends and technologies in data science and machine learning. Basic Qualifications: Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark Bachelor s degree in ...

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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

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Meta

New York, NY

Internship

Re-posted 18 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities:
  • Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Draft and polish research reports and/or publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
  • Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent
  • Experience in Python, C++, or other related languages
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP)
  • Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR)
  • Experience advancing AI techniques in Computer Vision and/or Machine Learning
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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