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Machine Learning Engineer Intern Jobs in Glassboro, NJ

RELX

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Athenago

Data Science Intern

Wilmington, DE

Collaborate closely with data science, product, and engineering teams to integrate models into ... Strong foundation in statistics and machine learning concepts (regression, classification ...

Slalom Consulting

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Own the end-to-end machine learning production lifecycle, including data ingestion, feature engineering, model deployment, monitoring, and lifecycle management. * Develop, maintain, and optimize ...

Cadent

Lead Data Scientist

Philadelphia, PA · On-site

Work with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by business * Align with Product and business on project ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Glassboro, NJ

Machine Learning Engineer Intern information

See Glassboro, NJ salary details

$24.7K

$41.2K

$85.1K

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

As of Aug 18, 2026, the average yearly pay for machine learning engineer intern in Glassboro, NJ is $41,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,500.00 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 Glassboro, NJ?

The most popular types of Machine Learning Engineer jobs in Glassboro, NJ are:

What cities near Glassboro, NJ are hiring for Machine Learning Engineer Intern jobs?

Cities near Glassboro, NJ with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Glassboro, NJ as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,172 per year, or $19.8 per hour.

Senior ML Ops Engineer

RELX

Philadelphia, PA • On-site

$112K - $179K/yr

Full-time

Re-posted 10 days ago

Job description

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization?

Are you looking to drive cutting edge products that have a true societal impact?

About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models intosecure, reliable, and scalableservices. Our systems operate over one of the world's largest medical and scholarly landscapes.

About the role, as a Senior Machine Learning Engineer you'll work onAI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrievalwhile enforcingcontent rights and editorial confidentiality.

Key Responsibilities

ML & LLM Engineering, Search and Recommendation Engines

  • Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI).
  • Maintain and version model registries and artifact stores to ensure reproducibility and governance.
  • Develop and manageCI/CD for ML, including automated data validation, model testing, and deployment.
  • Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.
  • Scale end-end custom Sagemaker pipelines.
  • Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manageprompt libraries,guardrailsandstructured outputfor LLMs hosted onBedrock/SageMakeror self-hosted.
  • Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs.
  • Buildevaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), andA/B testing.
  • Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization.
  • Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems.

Collaboration

  • Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions
  • Collaborate and interface with Operations Engineers who deploy and run production infrastructure.

Qualifications

  • Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.
  • StrongPython, Java, and/or Scalaexperience will be considered a plus.
  • Hands-onexperience with major cloud vendor solutions(AWS, Azure and/or Google)
  • Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j).
  • Experience in evaluating LLM models.
  • A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics.
  • Background in health technology and/or medical contentworkflows is preferred.
  • Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark.
  • Experience with large-scale data processing systems, e.g., Spark.
  • Experience with statistical analysis, machine learning theory and natural language processing.

Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus.

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