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Internship Machine Learning Engineer New Grad Jobs in New Jersey

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models ...

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models ...

Showing results 41-60

Internship Machine Learning Engineer New Grad information

What does an internship machine learning engineer new grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do machine learning engineer interns typically work on?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in New Jersey?

The most popular types of Machine Learning Engineer New Grad jobs in New Jersey are:

What are popular job titles related to Internship Machine Learning Engineer New Grad jobs in New Jersey?

For Internship Machine Learning Engineer New Grad jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Engineer New Grad jobs in New Jersey look for?

The top searched job categories for Internship Machine Learning Engineer New Grad jobs in New Jersey are:

What cities in New Jersey are hiring for Internship Machine Learning Engineer New Grad jobs?

Cities in New Jersey with the most Internship Machine Learning Engineer New Grad job openings:

Infographic showing various Internship Machine Learning Engineer New Grad job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Expert Machine Learning Engineer

ASRC Federal

Moorestown, NJ • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

244th of 453 rated engineering


Job description

121 Whittendale Dr, Moorestown, NJ 08057, USA

Job Description

Posted Thursday, September 3, 2026 at 4:00 AM

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are atop veteran employer and Certified Great Place to Work™

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking an Expert Machine Learning Engineer to join our team in Moorestown, NJ.

Responsibilities
  • Develops, researches, and applies machine learning, deep learning, visual artificial intelligence algorithms and methods to data sets to produce models to be deployed in an operational aspect
  • Develops hypotheses based on data analysis and trends, and compares real-time results with predictions to update and fine-tune algorithms
  • Develops assessment methods to ensure production models are robust and reliable. Collaborates with different business units and stakeholders
  • Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
  • Conducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification
  • Implementing emerging AI/ML technologies from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasks
  • Evaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual data
  • Developing appropriate model architectures, custom loss functions, and training deep neural networks including MLPs, CNNs, Transformers, and others as required
  • Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models
  • Recommends operational plans and strategies that will directly impact the achievement of overall functional results
  • Serves as a Technical lead on large, complex projects
  • Impacts functional strategy by developing new solutions, process, standards
  • Responsible for improving upon existing processes and systems using significant conceptualizing, reasoning and interpretation
  • Responsible for conducting briefings to senior leaders both within and outside of the job function
  • Responsible for providing guidance, coaching and training to other employees across ASRC Federal within technical area of expertise
  • Responsible for leading large, complex project initiatives of strategic importance to the organization, involving large cross-functional teams (without direct reporting relationships)
Basic Qualifications
  • Bachelor's degree and a minimum of 12-15 years of experience in a related or applicable field, or an equivalent combination of education and experience
  • This position requires the ability to obtain and maintain a government clearance, U.S. Citizenship is required
  • This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s)
  • Expert level knowledge of machine learning techniques including popular frameworks
  • Extensive experience with LLM prompting and Transformer architecture
  • Experience with unsupervised learning including clustering algorithms and manifold learning.
  • Requires mastery of knowledge within multiple job areas typically obtained through advanced education combined with experience
  • Viewed as an expert and/or resource within the field by peers within and outside ASRC Federal
  • Requires sound business acumen and combines this with technical knowledge for holistic solutions
  • Establishes operational plans for job area with short- to mid-term impact on results (e.g., 1-2 years)
  • Demonstrates leadership in technical innovation for ASRC Federal and Operating Groups in support of strategic goals and mission
  • Proven ability to utilize extensive analysis to seek understanding problems
Proven ability to Communicate
  • Ability to influence others to accept job function’s view/practices and agree/accept new concepts, practices, and approaches
  • Requires ability to communicate and influence senior executive leadership regarding matters of strategic importance to the organization
Preferred Qualifications
  • Experience with military simulators (e.g., AFSIM, JGTS, MAST)
  • Strong writing and presentation skills are preferred
  • Academic publication history
Benefits

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.

EEO Statement

ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

121 Whittendale Dr, Moorestown, NJ 08057, USA

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