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Machine Learning Engineer New Grad Jobs in Magnolia, NJ

RELX Group plc

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 ... If performed in New Jersey, the base pay range is $112,574 - $179,826.This job is eligible for an ...

Elsevier

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 ... If performed in New Jersey, the base pay range is $112,574 - $179,826.This job is eligible for an ...

Elsevier

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 ... If performed in New Jersey, the base pay range is $112,574 - $179,826.This job is eligible for an ...

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 ... If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an ...

Symbotic

New Grad- Integration Specialist

Philadelphia, PA · On-site

$82K - $113K/yr

New Grad- Integration Specialist We want to learn from you! Our teams at Symbotic value the early ... What we need The Integration Specialist role is to startup, commission, test PLC (Programmable ...

New

Cadent

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

Participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry * Work with machine learning engineers, data engineers, DevOps and software developers to ...

Cadent

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

Participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry * Work with machine learning engineers, data engineers, DevOps and software developers to ...

Cadent

Lead Data Scientist

Philadelphia, PA

Participate in researching new data, tools, algorithms and tech stack to align with evolving AI & ML industry * Work with machine learning engineers, data engineers, DevOps and software developers to ...

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 ...

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Showing results 41-60

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Magnolia, NJ

Machine Learning Engineer New Grad information

See Magnolia, NJ salary details

$32.2K

$131.7K

$197.9K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer new grad in Magnolia, NJ is $131,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Magnolia, NJ are hiring for Machine Learning Engineer New Grad jobs?

Cities near Magnolia, NJ with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Magnolia, NJ as of August 2026, with employment types broken down into 77% Full Time, 11% Part Time, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $131,713 per year, or $63.3 per hour.

Senior ML Ops Engineer

RELX Group plc

Philadelphia, PA • On-site

$112K - $179K/yr

Full-time

Re-posted 6 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 into secure, reliable, and scalable services. 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 on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content 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 manage CI/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), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted.
  • Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs .
  • Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/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.
  • Strong Python, Java, and/or Scala experience will be considered a plus.
  • Hands-on- experience 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 content workflows 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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